Portable inspection device
The portable inspection device addresses the inefficiencies of human-dependent pest inspection by using AI/ML and controlled airflow for precise pest identification and treatment recommendations, improving agricultural pest management and scalability.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-09-10
- Publication Date
- 2026-03-26
AI Technical Summary
Existing pest inspection methods in agriculture and other fields rely heavily on human inspectors, leading to inefficiencies, high costs, variability in quality, and limited scalability, with passive and active pest monitoring systems lacking precision for surgical extraction and accurate pest identification.
A portable inspection device equipped with a vacuum/fan mechanism for controlled airflow, an inspection chamber with a static background, and AI/ML algorithms for precise pest identification, providing actionable treatment recommendations.
Enables precise, efficient, and scalable pest identification and management, reducing human dependency, enhancing accuracy, and promoting environmentally sustainable pest control.
Smart Images

Figure IL2025050782_26032026_PF_FP_ABST
Abstract
Description
[0001] - 1 -
[0002] PORTABLE INSPECTION DEVICE
[0003] Field of the invention
[0004] The present invention relates to inspection technology, specifically to a portable inspection device designed to automate the identification and analysis processes for various items and objects across multiple environments. While one implementation focuses on agricultural technology for pest inspection and treatment recommendation, the device is also adaptable for use in other sectors requiring detailed inspection capabilities. This reduces the dependency on specialized human inspectors by providing a comprehensive tool that can be tailored to diverse inspection needs, thereby enhancing efficiency and accuracy in a broad range of applications.
[0005] Background of the invention
[0006] The need for accurate and efficient inspection of items and objects spans across numerous industries, including agriculture, gemology / gemstone inspection, manufacturing, etc. Traditional methods predominantly rely on human inspectors who perform assessments and make decisions based on their observations and expertise. While this approach may be effective in some scenarios, it inherently presents significant drawbacks. These methods are labor-intensive, subject to human error, and not scalable across large or complex operations. Furthermore, the dependency on specialist human inspectors introduces additional challenges, including high operational costs, variability in inspection quality, and limitations in the availability and consistency of expert analysis. This reliance on human expertise restricts the ability to adapt quickly to changing conditions or to scale operations effectively, underscoring the critical need for an innovative solution that reduces dependency on human inspectors while enhancing the accuracy, efficiency, and consistency of inspection processes.
[0007] In the realm of agriculture, for example, effective pest management is critical for safeguarding crop health and optimizing yields. The traditional approach relies heavily on human inspectors to identify pest infestations and recommend appropriate treatment measures. However, this method is labor-intensive, time-consuming, and subject to human error, prompting the need for more efficient and accurate solutions.
[0008] In this realm, several technological advancements have been made to address these challenges, including the development of passive and active pest monitoring systems utilizing artificial intelligence (Al) and machine learning (ML) for pest identification. Passive solutions involve stationary systems that monitor and identify pests as they come into the field of view of the sensors, often relying on lures or other attractants to draw pests toward - 2 - the sensors. Although these stationary systems may benefit from computerized decisionmaking, they lack the capability for detailed, or "surgical," inspection, often failing to differentiate between pests and non-pest elements within the environmental noise. This limitation can lead to inaccurate pest identification and ineffective pest management strategies.
[0009] Active non-surgical solutions, on the other hand, employ a broader approach by analyzing global images of the field to understand the overall pest situation. While these systems can provide a general overview of pest presence, they share similar drawbacks with passive systems in that they lack the precision needed for surgical inspection.
[0010] As used herein, "surgical extraction" denotes targeted, localized removal of a discrete object from its immediate micro-environment with minimal disturbance to surrounding material and with minimal damage to the object, coupled with immediate isolation and inspection. Existing passive and active solutions do not provide such precise, localized entrainment and transfer of individual targets from confined plant micro-environments (e.g., under bark, within folded leaves, inside flower buds), nor do they address comparable needs in non- agricultural contexts.
[0011] Consequently, these solutions may not effectively isolate pest data from environmental factors, leading to potential misinterpretation of the pest threat and inappropriate treatment recommendations.
[0012] The use of passive pest traps is a common strategy for monitoring pest populations. These traps, even when enhanced with inspection capabilities such as cameras and analytical software, still fundamentally rely on attracting pests to function. This requirement can limit their effectiveness, as they only capture pests that come into contact with or near the trap, potentially missing broader infestations or emerging threats in the field. Moreover, passive traps are particularly ineffective for pests that hide in less accessible areas of plants, such as under the bark of a tree trunk, beneath the undersides of leaves, within rolled or folded leaves, or inside flower buds. These hidden spots shield pests from detection, reducing the likelihood that they will be drawn to traps. The necessity to attract pests inherently delays the detection process, since the presence of pests is only confirmed once they are physically trapped and identified. This delay can prevent timely interventions and allows pest populations to grow unchecked, posing a greater risk to crop health and yield.
[0013] Furthermore, there exist various mechanical and chemical methods aimed primarily at capturing or exterminating pests, with the sole objective of pest removal from the - 3 - environment. These methods do not incorporate any form of computerized decision-making to analyze the types of pests captured. Consequently, while they may be effective in reducing pest populations, they offer no insights into the specifics of the pest infestation, such as identifying the types of pests present or their life stages. This lack of diagnostic capability prevents the formulation of targeted and efficient pest management strategies, ultimately limiting the effectiveness of these solutions in achieving sustainable pest control. Additionally, there are some toys designed for capturing and investigating bugs, which are mainly educational and recreational tools. These toys typically lack the sophisticated technology and analytical capabilities required for professional pest management, offering limited value beyond basic observational purposes.
[0014] Accordingly, there remains a need for a portable, hand-held inspection device that provides surgical extraction, i.e., precise, low-disturbance entrainment and transfer of a target pest (or non-pest object) from hard-to-access locations, into an inspection chamber for inspection and classification.
[0015] Therefore, there is a significant demand for a versatile, portable inspection device specifically designed to address pest management challenges. Such a device should be capable of distinguishing pests from their surroundings with high accuracy, providing precise and reliable inspections. This would enhance the efficiency and effectiveness of pest identification and treatment processes, reducing the reliance on specialized human inspectors and promoting greater operational scalability and cost-effectiveness. Additionally, this portable inspection device can be easily adapted to a wide range of applications in other fields, maintaining the same high standards of accuracy and reliability to improve various inspection processes across different industries
[0016] It is an object of the invention to provide an inspection device that eliminates the need for human expert inspectors.
[0017] It is another object of the invention to provide a device and method for surgical extraction of a target object (pest or non-pest) from confined or hard-to-access environments or microenvironments, with minimal disturbance to surrounding material and reduced risk of damage to the object.
[0018] It is another object of the invention to provide a portable inspection device having a specialized nozzle configured as, or forming, a conduit whose geometry and internal flow features support controlled, localized entrainment and transfer of the target directly into an inspection chamber for inspection. - 4 -
[0019] It is another object of the invention to provide a comprehensive solution for pest identification and management in agricultural settings, enhancing efficiency, accuracy, and sustainability.
[0020] It is yet another object of the invention to provide precise and customized pest treatment recommendations that optimize pest control measures while minimizing environmental impact.
[0021] It is still another object of the invention to equip farmers with a tool that delivers clear, actionable insights into pest management, including identification results and tailored treatment recommendations, thus empowering them to make informed decisions without the need for external consultants.
[0022] Other objects and advantages of the invention will become apparent as the description proceeds.
[0023] Summary of the Invention
[0024] In one aspect, the invention relates to a Portable Pest Inspector (PPI), comprising: a) an inspection chamber adapted to isolate pests from their natural surroundings and environmental factors, and to enable an imaging unit to capture visual data of the isolated pests, wherein the inspection chamber is equipped with a static background designed to facilitate the identification process of an inspected isolated pest together with isolation of pest data from the environmental factors; and b) a vacuum / fan mechanism that creates a controlled airflow for a transport of pests into said inspection chamber via suction or facilitating their egress via expulsion, wherein the design of said mechanism is adapted to ensure airflow dynamics for the collection and discharge processes of the inspected pests.
[0025] In one aspect, isolating the pest from its surroundings, including complex backgrounds such as under the bark of a tree or within the layers of a leaf, is done by suctioning the pests into the PPI.
[0026] In one aspect, the pest identification is carried out by a processing unit that utilizes Artificial Intelligence (Al) and Machine Learning (ML) algorithms specifically trained for identifying pests. - 5 -
[0027] In one aspect, an expert module associated with said PPI is designed to generate environmentally sustainable treatment recommendations based on the type and stage of pests identified, along with current environmental conditions.
[0028] In one aspect, the imaging unit is embedded with the PPI.
[0029] In one aspect, a user interface associated with the PPI is adapted to operatively interact with said PPI, to provide actionable pest management insights derived from the identification or combination of both.
[0030] In one aspect, the PPI is adapted to utilize the imaging unit and / or the processing unit and / or the interface of an external device, such as of a mobile device.
[0031] In another aspect, the present invention is a Portable Inspection Device (PID) comprising: a) an inspection chamber adapted to receive one or objects for inspection, and for enabling an imaging unit to capture visual data of the received object, wherein the inspection chamber is equipped with a static background for facilitating the identification process of the inspected object; and b) a vacuum / fan mechanism that creates a controlled airflow for a transport of objects into said inspection chamber via suction or facilitating their egress via expulsion, wherein the design of said mechanism is adapted to ensure airflow dynamics for the collection and discharge processes of the one or more objects, wherein the collection includes extraction of said objects from their surrounding environment.
[0032] In one aspect, the identification process is done by a processing unit equipped with Artificial intelligence (Al) and Machine Learning (ML) algorithms.
[0033] In one aspect, an expert module associated with the PID is designed to generate environmentally sustainable treatment recommendations based on the type of object identified, along with current environmental conditions.
[0034] In one aspect, a user interface associated with the PID is adapted to provide actionable management insights derived from the analysis to enable prompt and informed decisionmaking by a user.
[0035] In one aspect, the PID is configured to utilize the imaging unit of a mobile device, such as a smartphone, to capture visual data of the received object.
[0036] In one aspect, the imaging unit is embedded within the PID. - 6 -
[0037] In one aspect, the processing unit is located within the PI D, at an external remote computing device, at a mobile device, or any combinations thereof.
[0038] In another aspect, the present invention relates to a system incorporating the PID, coupled with a cloud-based platform for enhanced data management and analysis. For example, this system may feature real-time updates to the database and algorithms, ensuring the system's recommendations remain accurate and up-to-date
[0039] In another aspect, the present invention relates to a networked system, allowing for the aggregation of data from multiple PIDs across different locations to improve predictive models.
[0040] In one aspect, the networked system inclusive of a mobile application that interfaces with the PID, providing remote access to object identification results and treatment recommendations.
[0041] In yet another aspect, the invention the PID is implemented as a Portable Pest Inspector (PPI) device and system that revolutionizes agricultural pest management by offering precise pest identification and tailored treatment recommendations. In one aspect, the system combines high-resolution imaging, Al-driven analysis, and an extensive pest database to deliver inspection capabilities and actionable insights for effective pest control.
[0042] Brief Description of the Drawings
[0043] The above and other characteristics and advantages of the invention will be better understood through the following illustrative and non-limitative detailed description of preferred embodiments thereof, with reference to the appended drawings, wherein:
[0044] Fig. 1 is a block diagram of the modules of a Portable Pest Inspector (PPI) device, according to an embodiment of the invention;
[0045] Fig. 2 is a system incorporating the PPI device of Fig. 1, according to an embodiment of the invention;
[0046] Fig. 3 schematically illustrates a possible implementation of the PPI device of Fig. 1, according to an embodiment of the invention;
[0047] Fig. 4A schematically illustrates a Portable Pest Inspector (PPI) device, according to another embodiment;
[0048] Fig. 4B schematically illustrates a cross-section view of the PPI device of Fig. 4A without the nozzle, according to another embodiment; - 7 -
[0049] Figs 5A-5C schematically illustrate variations of a nozzle, according to some embodiments of the invention;
[0050] Fig. 5D schematically illustrates a cross-sectional view of the nozzle of Fig. 5A provided with a damage-mitigation feature, according to some embodiments of the invention;
[0051] Fig. 6A schematically illustrates a PPI device adapted to house a smartphone, according to an embodiment of the invention; and
[0052] Fig. 6B schematically illustrates a cross-section view of the PPI device of Fig. 6A without the nozzle, according to another embodiment.
[0053] A detailed description of embodiments of the Invention
[0054] The present invention introduces a Portable Inspection Device (PID) that revolutionizes the way objects are inspected and managed in their natural settings. This device is particularly suited for tasks that require the extraction of specific objects, such as pests in agricultural settings, from their environment for detailed inspection and decision-making. The PID enable to capture images of the extracted objects and to process these images to identify and categorize them based on predefined criteria. Following identification, the device facilitates informed decision-making with the nature of the identification, such as determining how to handle the objects, or, for example, in the case of pests, recommending appropriate treatments for their removal to prevent them from harming plants.
[0055] According to an embodiment of the invention the PID is designed with a compact and user- friendly interface, enabling easy transportation and operation in a variety of environments. It is equipped with a vacuum / fan mechanism adapted for the collection of objects by extraction them from the surrounding environment and insertion them into the PID. This mechanism is capable of isolating the object from its surroundings, minimizing disruption to the environment and preventing damage to the object itself. For example, the PID may delicately isolate an object from complex backgrounds, including various hidden spots (i.e., these concealed areas) within a plant's structure, e.g., by suctioning the object into the PID using various dedicated nozzles, each nozzle adapted to enable access to such hidden spots and to easily target these concealed areas. For example, pests often conceal themselves under the bark of a tree, where they burrow into the wood or hide within the crevices, making them difficult to detect. Another common hiding spot is within the layers of a leaf, where pests like leaf miners or larvae create tunnels and cavities, remaining largely invisible from the outside. Additionally, the undersides of leaves are prime locations for pests such as - 8 - aphids, spider mites, and whiteflies to congregate, shielded from direct sunlight and casual observation. The PID is also effective at isolating objects from within folded or rolled leaves, where certain caterpillars and other insects create protective shelters. By targeting these concealed areas, the PID enhances the ability to capture, detect, identify, and manage pests that would otherwise evade traditional inspection methods.
[0056] Once an object is received within a dedicated inspection chamber of the PID, suitable imaging technology is configured to capture detailed visual data of the object. This data is then transmitted to a processing unit equipped with algorithms and machine learning capabilities. The processing unit analyzes the images to determine the nature of the object (e.g., such as identifying different stages of pest life in an agricultural context, including eggs, larvae, or adult pests). After the identification process is completed, the PID enables to discharge (i.e., eject / release) the inspected object from the PID, either automatically or manually, by the vacuum / fan mechanism. Upon completion of the identification, the PID provides actionable insights / decision making in accordance with the nature of the identification.
[0057] According to an embodiment of the invention, the imaging technology may include one or more cameras and sensors suitable to capture detailed images of the extracted objects within the inspection chamber of the PID. The cameras and sensors can be embedded within the PID, or the PID can be designed with the ability to utilize a mobile device's cameras and sensors to capture detailed images of the extracted objects. Accordingly, the processing can be performed by an integral processing unit within the PID, or by utilizing processing capabilities of an external computing device, such as a mobile device, remote computer, server, or cloud-based computing system to which the PID can be connected or networked.
[0058] According to an embodiment of the invention, the PID comprises a fixation mechanism adapted to temporary securely positioning an object in a specific location so that it remains stationary and does not move for a desired duration. The fixation is intended to be temporary, allowing for the object to be removed or repositioned after the desired period of stability has elapsed. This fixation mechanism ensures that the object maintains its position and orientation without displacement or unintended movement during the inspection process. Thereby allowing enhanced identification with minimal disturbance (e.g., that may occur due to movements of the inspected object). In one embodiment, the fixation mechanism comprises a perforated surface on which the inspected object is situated combined with the suction capabilities of the vacuum / fan mechanism to force the inspected - 9 - object to remain stationary, as long as the vacuum / fan mechanism draw air from the chamber through the perforated surface.
[0059] Implementation of the PID for Pest Inspection
[0060] While the following description provides examples primarily within the agricultural sector, it should be noted that the Portable Inspection Device is versatile and can be adapted for use in a wide range of fields where detailed inspection and analysis of objects are required, such as gemstones inspection, and other suitable fields.
[0061] According to an embodiment of the invention, the PID can be implemented as a Portable Pest Inspector (PPI) device that is equipped with an imaging unit capable of capturing high- definition visuals of sampled physical data collected from agricultural environments. The device is designed to isolate pests from background noise, enabling accurate identification of pests at all life stages. According to an embodiment of the invention, the device achieves this through an integrated vacuum suction system (i.e., vacuum / fan mechanism) that is adapted to extract various entities or materials from plants. The primary objective is to capture and process these entities in an isolated environment to generate actionable insights, and to eject the collected sample when it no longer needed for the identification.
[0062] Fig. 1 schematically illustrates a block diagram of a portable PPI device 10, according to an embodiment of the invention. Device 10 comprises an inspection chamber 2 equipped with an internal static background 3, an imaging unit 4, an illumination unit 5, a vacuum / fan mechanism 7, a user interface (Ul) 12, a processing unit 13, a nozzle 50, and a power unit 14 configured to supply and regulate electrical energy to device 10. Fig. 2 schematically illustrates a system 20 incorporating PPI device 10 of Fig. 1, according to an embodiment of the invention.
[0063] Inspection chamber 2 is a compartment that serves as a temporary repository for materials collected during operation. This inspection chamber is adapted to maintain the captured samples until they are ready for imaging or disposal. Inspection chamber 2 comprises a static background 3 to enhance computer vision analysis of the captured samples. Static background 3 is a structural and functional feature of inspection chamber 2 that is critical to achieving high accuracy and consistency in detection and analysis. For example, one of the important aspects is that a learning algorithm will benefit from having a static background in inspection chamber 2 that is not contaminated from other environmental considerations. The static and pure nature of the imagery captured by device 10 enables higher accuracy in detection with respect to the learning algorithm. - 10 -
[0064] According to an embodiment of the invention, vacuum / fan mechanism 7 is a dual-function vacuum and fan mechanism that creates a controlled airflow. This airflow is critical for the efficient transport of entities into inspection chamber 2 via suction or facilitating their egress via expulsion. The design of vacuum / fan mechanism 7 is adapted to ensure optimal airflow dynamics for the collection and discharge processes. For example, the mechanism is designed to generate sufficient airflow rate and velocity to capture the targeted entities from agricultural plants effectively. This may involve selecting a fan with appropriate specifications (such as power and blade design) to create the necessary suction force, suitable designed pathways or ducts through which the air (and thus the entities or materials) travels, etc.
[0065] Imaging unit 4 can be a camera system adapted to capture high-resolution images of the collected materials. These images are processed (e.g., locally by processing unit 13 and / or at a remote server), either in real-time or in subsequent analysis phases to identify and classify the agricultural entities based on predefined criteria. Processing unit 13 with advanced algorithms and machine learning capabilities designed to analyze the captured images and data, accurately identifying pests. Illumination unit 5 is adapted to provide suitable lighting for optimal visual conditions for imaging unit 4.
[0066] Ul 12 is an interactive user interface allows operators to manage the device's 10 operations effectively. Ul 12 may provide controls for adjusting the vacuum intensity, monitoring the status of the inspection chamber, viewing the images captured by imaging unit 4, view actionable insights, etc. Additionally, Ul 12 may facilitate the configuration of device 10 settings to tailor its operation to specific agricultural environments or research requirements.
[0067] According to an embodiment of the invention, PPI device 10 is equipped with processing unit 13 that utilizes artificial intelligence (Al) and machine learning (ML) algorithms to analyze data collected from its surroundings. This data analysis can be enhanced by a continuously updated database 22 (Fig. 2) of pest species, enabling device 10 to accurately recognize a wide range of pests and their distinctive characteristics. While this processing can be conducted locally within device 10, it may also be performed on a remote server, such as a cloud-based system 21 (see Fig. 2). This flexibility allows for either on-device processing for immediate actions or more complex, resource-intensive analysis that can be handled remotely. According to some embodiments of the invention, all processing is - 11 - carried out on the remote server, rather than locally on device 10, leveraging the advanced computational power and storage capabilities of cloud-based systems.
[0068] Upon identifying pests, customized treatment plans based on the specific pest types, their development stages, and the prevailing environmental conditions can be provided via Ul 12 (e.g., via a display of the PPI device, via a mobile device 23 running a software application associated with PPI device 10, and the like.). These recommendations (i.e., actionable insights) aim to optimize pest control while prioritizing environmental sustainability. For example, Ul 12 may present the findings and recommendations in a clear, easily understandable format, allowing farmers to take immediate, informed action against pest infestations.
[0069] According to an embodiment of the invention, PPI device 10 may further comprise a communication unit 15 for enabling communication with external systems / devices, as shown for example with respect to system 20 in Fig. 2, such as cloud-based system 21, mobile device 23 (e.g., smartphone, tablet, laptop computer, etc.), or with any other suitable computer system. The communication can be established via a data network 25 such as the Internet.
[0070] According to an embodiment of the invention, a comprehensive pest database, such as database 22, continuously updated, containing information on a wide variety of pests and their characteristics, enabling precise pest identification.
[0071] According to an embodiment of the invention, cloud-based system 21 comprises an expert module 24 that utilizes the processed data and pest identification information to recommend effective treatment strategies tailored to the specific pests and their stages of development.
[0072] According to an embodiment of the invention, system 20 (Fig. 2) incorporates a networked system (e.g., that may communicate via data network 24) that significantly enhances its functionality by aggregating pest data collected from multiple PPI devices 10 positioned across various locations. This interconnected system facilitates the transmission and centralized collection of data in real-time, enabling the accumulation of a vast dataset of pest encounters. The robust data collection may support the development and refinement of predictive pest management models, improving the accuracy and efficiency of pest detection and control measures. By leveraging this networked approach of system 20, the system not only enhances individual PPI device performance but also contributes to a broader, more effective pest management strategy. - 12 -
[0073] Fig. 3 schematically illustrates an implementation of PPI device 10, according to an embodiment of the invention. In this embodiment, PPI device 10 is composed of a main body or housing 9, which integrates vacuum / fan mechanism 7 and inspection chamber 2 equipped with automatic inspection capabilities, all aligned to facilitate an airflow from an opening 1 of PPI device 10 into to inspection chamber 2, and vice versa.
[0074] According to an embodiment of the invention, opening 1 can be designed as a nozzle with a conduit or tubular configuration, featuring an entry port at the front end for ensnaring pests. The nozzle can be adjusted in size to accommodate various pest types, ranging from small to large species, and is adaptable for enabling surgical extraction of pests from diverse environments, such as plant foliage, soil, or tree bark. According to an embodiment of the invention, the nozzle's rear end can be easily connected to or detached from inspection chamber 2, employing either a standard mechanical coupling or a straightforward friction fit.
[0075] According to an embodiment of the invention, inspection chamber 2 can be fabricated from a non-clear material to isolate the captured samples from the environment and to permit static background for internal viewing of the imaging unit 4. For example, inspection chamber 2 can be structurally cylindrical. Notably, inspection chamber 2 is enhanced with an integrated system for the automatic inspection of captured insects (i.e., imaging unit 4 and illumination unit 5), elevating the device's 10 functionality. A filter net 6 at inspection chamber's 2 downstream end prevents the escape of insects and the ingress of debris into the vacuum / fan mechanism 7, ensuring the integrity of inspection chamber 2 as a containment and observation module. In this embodiment, filter net 6 is installed at the entrance of a housing 11 of mechanism 7 to prevent collected physical data from reaching and potentially damaging components of mechanism 7 such as a vacuum engine and a fan (not shown). Air ventilation 8 is used to ensure mechanism 7 receives enough air flow to function optimally and prevent overheating.
[0076] In this embodiment, the device's 10 rear houses the fan assembly (i.e., vacuum / fan mechanism 7), encased in a section of the housing 11 that may double as a handle, complete with a trigger for operational control (not shown). This assembly is powered by power unit 14 (e.g., rechargeable batteries). A fan 31, driven by a motor (not shown), generates an airflow that draws pests into inspection chamber 2 through opening 1. According to an embodiment of the invention, the airflow's intensity can be adjusted to suit the capture of different pest types (e.g., by a variable speed control feature of vacuum / fan mechanism 7). - 13 -
[0077] In use, PPI device 10 activates fan 31 of vacuum / fan mechanism 7, creating a suction that transports pests into inspection chamber 2 for inspection by imaging unit 4, which captures high-resolution images and collects environmental data pertinent to pest detection. This data is then processed by Al-based algorithms, which compare the findings against a comprehensive, up-to-date pest database to accurately identify the presence and type of pests (optionally, including their life stages).
[0078] Upon successful pest identification, expert module 24 (Fig. 2) analyses the information in the context of the current environmental conditions and crop type to recommend a customized treatment plan. This plan includes specific pesticides or biological control methods, application rates, and timing, ensuring that the treatment is effective while minimizing environmental impact.
[0079] The recommendations are then presented to the farmer through Ul 12 (e.g., on mobile device 23 or directly via device 10), enabling farmers to take immediate action to address pest issues without the need for external pest inspection services.
[0080] Figs. 4A and 4B schematically illustrate a Portable Pest Inspector (PPI) device 40 according to another embodiment. Device 40 comprises a main housing 49 integrating a vacuum / fan mechanism 47, structural static background 55 and an inspection chamber 42, arranged to establish a collection airflow from an inlet opening of an airflow chamber 41 into the inspection chamber 42. The inspection chamber 42 includes an imaging subsystem with a camera 43A and an illumination unit 43B, both operatively controlled by a controller 46. A trigger mechanism 48A enables activation and control of device operation, and an optional power button 48B may be provided to switch the device ON / OFF. Power is supplied by an internal, preferably rechargeable, power source 45. In this embodiment, the controller 46, trigger mechanism 48A, and power source 45 are housed within a handle 44 of device 40. The device is configured in a handgun-like form factor to facilitate ergonomic, one-handed operation.
[0081] The structural static background 55 positioned above (or on top of) the vacuum / fan mechanism 47. The background 55 provides a stable, non-moving surface against which the inspected object is temporarily secured during imaging, thereby minimizing motion and improving image quality. The background 55 may be formed with a high-contrast, low-gloss finish to enhance edge detection, and can optionally include calibration marks or reference features for image processing. Temporary fixation can be achieved by, for example, a microtexture or micro-suction surface, low-tack adhesive, or electrostatic holding, each selected - 14 - to avoid damage to the object and to permit easy release after inspection. The background 55 can be removable or replaceable for cleaning or sterilization, and may be produced in different colors or materials to suit various targets.
[0082] In some embodiments, the object is temporarily secured by controlled airflow through the structural static background 55. The background 55 is formed as a mesh-like or perforated surface fluidically coupled to the vacuum / fan mechanism 47 so that a gentle, distributed suction passes through the mesh / perforations to hold the object against the background during imaging. The airflow level is adjustable to accommodate different sizes and fragilities, and may be zoned to concentrate suction near the object while minimizing unnecessary forces elsewhere. Because retention is achieved pneumatically, without rigid clamps, it reduces risk of damage and limits motion blur. After imaging, the object is released by reducing or interrupting the suction (and, in some embodiments, by actuating the chamber's dedicated discharge opening 51).
[0083] In some embodiments, a display unit 52 is embedded in the top surface 53 of the PPI device 40 and is operatively coupled to the controller 46. The display unit 52 may be configured to present and / or receive one or more of the following:
[0084] Live imaging preview from camera 43A with optional overlays (reticle, scale bar, focus / zoom indicators, exposure status, histogram).
[0085] Illumination and imaging controls, including intensity of illumination unit 43B, focus / zoom selection, capture trigger, and mode selection (e.g., collection, imaging, discharge).
[0086] Operational status and diagnostics, including airflow / pressure indicators for the vacuum / fan mechanism 47, error / warning messages, etc.
[0087] Power and connectivity information, including battery level and charging state of power source 45, wireless link status (e.g., Bluetooth® / Wi-Fi®), and data-sync progress.
[0088] Al / analysis outputs, including detected pest class, confidence scores, life-stage indicators, and context-aware notes. Optionally with treatment recommendations and environmental advisories.
[0089] User interface elements for settings and maintenance.
[0090] Workflow prompts guiding the operator through extraction, fixation, imaging, and discharge steps, including confirmation dialogs and safety notices. - 15 -
[0091] In certain embodiments, the display unit 52 is a touchscreen providing direct user input for the foregoing functions. In other embodiments, it serves as a passive indicator while inputs are received via the trigger mechanism 48 or external controls.
[0092] As used herein, "nozzle" denotes a structural element configured as, or forming, a conduit that enables surgical extraction and direct transfer into an inspection chamber for controlled imaging and analysis. The nozzle defines at least a distal portion of a transfer path between the environment and the inspection chamber. The nozzle can be elongated, straight or curved, rigid or flexible, detachable and replaceable, and may include transparent or translucent portions to aid alignment during extraction. Figs. 5A-5C show variations of the nozzle as indicated by numerals 50 (Figs. 5A and 5B) and 59 (Fig. 5C), according to some embodiments of the invention. Fig. 5D is across-sectional of nozzle 50 variation of Fig. 5A.
[0093] In some embodiments, nozzle 50 is sized and shaped to reach hard-to-access locations, such as under tree bark, within folded leaves, and in narrow crevices, while presenting an inlet geometry that draws in the target specimen with minimal disturbance to surrounding plant tissue. Both nozzles 50 and 59 share a tapered profile: a narrow distal tip that widens toward a proximal end where the nozzle couples to the PPI device 40. The primary difference is the distal opening: nozzle 50 has a rounded-edge opening 57, whereas nozzle 59 has a slit-like opening 58 designed to slide between layers (e.g., under bark or between leaf laminae).
[0094] Referring to Fig. 5B, nozzle 50 includes a bristle head affixed around the perimeter of its rounded-edge distal opening 57. The bristle head helps gently loosen pests and shield the plant surface while guiding the specimen toward the inlet. In some embodiments, the bristle head is detachable or replaceable to suit different targets or conditions.
[0095] In some embodiments, the nozzle (e.g., nozzle 50) is elongate and tapered with an elliptical cross-section sized to enter narrow crevices. The nozzle includes a distal tip region 50d, a mid-shaft 50m, and a proximal interface 50p that couples to the PPI device 40. The longitudinal axis may be straight or gently decurved (hummingbird-beak inspired), e.g., with a curvature radius of about 40-150 mm to facilitate insertion under bark, into flowers or between folded leaf laminae. The distal tip 50d defines an intake opening that, for example, may be configured either as a rounded-edge orifice 57 (diameter, e.g., 2-6 mm), or a slit-like orifice 58 as shown in Fig. 5C (e.g., length 6-20 mm, width 0.6-2.5 mm).
[0096] According to an embodiment of the invention, nozzle 50 comprises a damage-mitigation feature that is located within nozzle 50 so that mitigation occurs throughout the critical extraction and transfer segments. In some embodiments, the feature comprises an auxiliary - 16 - airflow system (e.g., see Fig. 5D that schematically illustrates a micro-tube 54 integrated within the nozzle wall 56 with openings directed along the transport direction) forming a boundary-layer "air cushion" that reduces contact with the inner wall. In other embodiments, the feature may include low-friction coatings, flexible inner liners, vortex / laminar flow conditioners, or electrostatic effects.
[0097] According to some embodiments, the nozzle may support bidirectional controlled airflow for both collection and discharge. During collection, the damage-mitigation feature acts to maintain the specimen substantially intact, and during discharge, the same pathway may release the specimen under controlled flow.
[0098] According to an embodiment of the invention, the inspection chamber includes a dedicated discharge opening 51 (see Figs. 4A and 4B) that is structurally and fluidically separate from the nozzle. In some embodiments the opening is equipped with a valve, gate, or one-way door to retain the specimen during imaging and to permit controlled release thereafter.
[0099] Discharge may be airflow-assisted by directing a brief or sustained airflow from within the chamber through the discharge opening. The airflow can be generated by the same vacuum / fan mechanism via a bypass or diverter valve, or by a secondary blower. The nozzle is used for collection / transfer into the chamber (optionally with the damage-mitigation feature acting during collection). Discharge does not occur through the nozzle, but via the chamber's dedicated discharge opening, optionally airflow-assisted.
[0100] Figs. 6A and 6B schematically illustrate a PPI device 60 (with a form factor similar to PPI 40 of Fig. 4A) in which the upper portion is configured to receive a smartphone. When docked, the smartphone's camera and on-board processor perform the inspection functions; accordingly, device 60 may include only an illumination unit and a power source, and an onboard controller can be omitted. The smartphone is received with its display facing upward toward the user and serves as the user interface in place of the display shown in Fig. 4A. The dock provides one or more apertures or optical windows aligned with the smartphone's camera (and optionally its flash) to capture images of objects within the inspection chamber.
[0101] The device is usable for both pest collection (e.g., insects, mites, larvae) and non-pest objects, including biological specimens (e.g., spores, seeds, pollen, plant fragments) and non-biological items such as gemstones, beads, or other discrete particles whose size permits transport through the nozzle. In each case, the controlled collection airflow and optional damage-mitigation features enable gentle entrainment, temporary securing within - 17 - the inspection chamber, imaging / analysis (by integrated or external imaging / processing), and subsequent discharge via the chamber's dedicated opening, thereby supporting identification, documentation, or sorting of both living specimens and inert objects without undue damage.
[0102] As will be appreciated by a person skilled in the art, the device of the present invention reduces the need for hiring human pest inspectors, thereby saving costs associated with pest management, offers real-time pest identification and treatment recommendations, enabling rapid response to pest threats, recommends targeted treatment strategies that may minimize the use of chemicals and promote environmentally friendly pest control methods, making advanced pest inspection capabilities accessible to farmers without specialized training. Therefore, the device of the present invention represents a significant advancement in agricultural technology, providing farmers with an autonomous, reliable, and efficient portable tool for pest management, ultimately enhancing crop health, productivity, and sustainability.
[0103] Although the description primarily refers to pests inspection, the invention can also be implemented mutatis mutandis to other fields such as gemstones and other fields requiring accurate inspection of objects. Using the novel device of the present invention to conduct the inspection ensures a thorough assessment of a diamond's quality and other properties, guaranteeing it meets industry standards, e.g., before reaching the market. According to embodiment of the invention, the gemstone can be examined by the device of the present invention to evaluate its clarity, identifying any internal or external flaws, inclusions, or blemishes. For example, the color of the diamond can be assessed against a standardized color grading scale to determine its hue and saturation. Additionally, the cut of the diamond is scrutinized using the device to assess the quality of its facets, proportions, and symmetry, which are critical to its brilliance and overall appearance. In such embodiment, additional features / elements can be employed to analyze the diamond's optical properties, including fluorescence and light performance, to measure the carat weight (e.g., by incorporating a scale specifically designed for weighing gemstones, etc.). Using the device of present invention such an inspection ensures that each diamond is accurately graded and valued, providing assurance of its quality and authenticity to buyers and sellers.
[0104] Although embodiments of the invention have been described by way of illustration, it will be understood that the invention may be carried out with many variations, modifications, and adaptations, without exceeding the scope of the invention.
Claims
- 18 -Claims1. A Portable Pest Inspector (PPI), comprising: a) an inspection chamber configured to temporarily secure a collected pest for inspection by an imaging unit, wherein the inspection chamber comprising a structural static background configured to facilitate identification of the collected pest, minimize movement during inspection, and isolate the pest from its natural surroundings and environmental factors; b) at least one nozzle configured as, or forming, a conduit adapted for enabling surgical extraction of pests from a natural environment, including hard-to- access locations such as within flowers, under bark or within folded leaves, the nozzle being adapted to ensure airflow dynamics for collection of the pests into the inspection chamber; and c) a vacuum / fan mechanism configured to create a controlled collection airflow to draw the pests through the nozzle into said inspection chamber .
2. The device of claim 1, wherein the imaging unit being integrated with the PPI or provided by an external device operatively coupled to the PPI, wherein the imaging unit arranged to capture visual data of the secured object within the inspection chamber.
3. The device of claim 1 or 2, wherein the pest identification is carried out by a processing unit operatively coupled to the imaging unit, wherein the processing unit comprising a machine learning (ML) algorithms trained to identify pests based on captured images by the imaging unit and to generate environmentally sustainable treatment recommendations accordingly that are based on the type and stage of pests identified, along with current environmental conditions.
4. The device of claim 1, wherein a user interface associated with the PPI is adapted to operatively interact with said PPI, to (i) provide actionable pest management insights derived from the identification, or (ii) device-use information, including sampling instructions for operating the PPI to collect pests for inspection and operational feedback such as status indicators, confirmations, and warnings, or combination of both.- 19 -5. The device of claims 1 to 3 or 4, wherein the imaging unit and / or the processing unit and / or the interface is provided by an external device operatively coupled to the PPI.
6. The device according to claim 5, wherein the external device is a mobile device.
7. The device of claim 1, wherein the nozzle comprising a tapered distal portion terminating at an intake opening having a rounded and / or chamfered perimeter, and an internal flow-conditioning section adjacent the intake opening configured to stabilize the collection airflow and promote entrainment while limiting disturbance to surrounding plant tissues.
8. The device of claim 1, wherein the nozzle including a damage-mitigation feature configured to reduce physical damage to the pest during transfer through the nozzle.
9. The device of claim 8, wherein the damage-mitigation feature comprises an auxiliary airflow system configured to inject supplemental airflow along an interior surface of the conduit in a direction of the controlled airflow during collection.
10. The device of claim 9, wherein the auxiliary airflow system comprises at least one micro-tube integrated within a wall of the conduit and having a plurality of openings distributed along its length.
11. The device of claim 10, wherein the openings are oriented to direct the supplemental airflow in the same direction as a primary transport flow toward the inspection chamber to create a boundary-layer air cushion that reduces contact between the pest and the conduit wall.
12. The device of any of claims 8-10, wherein the auxiliary airflow assists transport such that a lower vacuum level is sufficient to move the pest to the inspection chamber.
13. The device of claim 8, wherein the damage-mitigation feature comprises at least one of: a low-friction inner coating, a flexible inner liner, a vortex or laminar flow conditioner, or an electrostatic suspension configured to reduce contact between the pest and an interior surface of the conduit.
14. The device of any of claims 1 or 8-13, wherein the nozzle comprises an elongated conduit defining at least a distal portion of a transfer path between the environment and the inspection chamber, wherein the nozzle is rigid or flexible and has a- 20 - geometry selected to access under bark, folded leaves, crevices, or similar hard-to- reach locations.
15. The device of any of claims 1 or 8-14, wherein the nozzle is at least partially transparent or translucent to allow visual alignment during extraction.
16. The device of any of claims 1 or 8-15, wherein the nozzle is detachable and replaceable to adapt length, cross-section, or stiffness to target conditions.
17. The device according to claim 1, wherein a discharge of the pest after inspection is effected via a dedicated discharge opening of the inspection chamber.
18. The device according to claim 17, wherein the discharge of the pest is airflow- assisted by the vacuum / fan mechanism.
19. A Portable Inspection Device (PID) comprising: a) an inspection chamber configured to temporarily secure one or more collected objects for inspection by an imaging device, the imaging device being integrated with the PID or provided by an external device operatively coupled to the PID, wherein the imaging unit arranged to capture visual data of the collected object within the inspection chamber, and wherein the inspection chamber is equipped with a static background for facilitating the identification process of the inspected object; b) at least one nozzle configured as, or forming, a conduit adapted for extracting objects for inspection, including hard-to-access spaces, wherein the nozzle being adapted to ensure airflow dynamics for collection of the objects into the inspection chamber; and c) a vacuum / fan mechanism configured to create a controlled airflow for transporting objects through the nozzle into said inspection chamber.
20. A device according to claim 19, wherein the identification process is done by a processing unit configured to analyze visual data captured by the imaging unit by using Artificial intelligence (Al) and Machine Learning (ML) algorithms to identify the object.
21. A device according to claim 20, wherein a user interface associated with said PID is adapted to provide insights derived from the analysis to enable prompt and / or informed decision-making by a user.- 21 -22. A device according to claim 19, wherein the imaging unit is provided by a mobile device, such as a smartphone, to capture visual data of the collected object.
23. A device according to claim 20, wherein the processing unit is located within the PID, at an external remote computing device, at a mobile device, or any combinations thereof.
24. A management system incorporating the PID device of any of claims 19-23, coupled with a cloud-based platform for enhanced data management and analysis.
25. The system of claim 24, configured for aggregation of data from multiple PIDs across different locations to improve predictive management models.
26. A method for transferring an object for inspection, comprising: a) positioning an inlet of a conduit adjacent a location of the object; b) generating a controlled collection airflow through the conduit from the inlet toward an outlet connected to an inspection chamber; and c) during said flow, implementing a damage-mitigation action that reduces physical contact between the object and an inner surface of the conduit so as to maintain the object substantially intact upon arrival at the inspection chamber.
27. The method of claim 26, wherein the damage-mitigation action comprises injecting an auxiliary airflow along the conduit wall in a direction of transport, wherein injecting the auxiliary airflow comprises delivering air through a micro-tube integrated within a wall of the conduit via a plurality of openings oriented along the direction of transport to create an air cushion adjacent the wall.
28. A method of using the device of claim 1 to collect and inspect a non-pest object, comprising: a) positioning the nozzle of the device adjacent a location of a target non-pest object; b) generating a controlled collection airflow with the vacuum / fan mechanism to draw the object through the nozzle into the inspection chamber;c) temporarily securing the object in the inspection chamber for inspection by an imaging device that is integrated with the device or provided by an external device operatively coupled to the device; and d) effecting discharge of the object after inspection.
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