Vehicle-integrated bomb and intrusion detection apparatus for a vehicle and a method thereof

Abstract

The present disclosure provides a vehicle-integrated bomb and intrusion detection apparatus for a vehicle and a method thereof. The apparatus (100) comprises a load cell (104) to monitor load variations, a camera (106) for visual inspection, and an Electronic Control Unit (ECU) (108) to analyse load deviations. The ECU (108) differentiates between minor and major deviations, identifying threats such as bomb attachments, human intrusions, and unauthorized storage. A server (110) securely stores data and coordinates alerts, while a user device (112) and an authority's interface (116) provide real-time notifications. The disclosure provides autonomous detection of anomalies, triggering alerts based on predefined thresholds. The load cell (104) monitors areas such as the chassis, bonnet, and dickey to detect unauthorized modifications. The apparatus (100) enhances vehicle security through automated monitoring, real-time alerts, and remote access, ensuring timely intervention against potential threats.

Description

[0001] VEHICLE-INTEGRATED BOMB AND INTRUSION DETECTION APPARATUS

[0002] FOR A VEHICLE AND A METHOD THEREOF

[0003] FIELD

[0004] The present disclosure relates to vehicle security, and more particularly to a vehicle- integrated intrusion detection system.

[0005] DEFINITION

[0006] As used in the present disclosure, the following terms are generally intended to have the meaning as set forth below, except to the extent that the context in which they are used indicates otherwise.

[0007] Strain Gauge Load Cell: The term "Strain Gauge Load Cell" refers to a sensor that measures force or weight by detecting mechanical strain through strain gauges, converting deformation into electrical signals.

[0008] Piezoelectric Effect: The term "Piezoelectric Effect" refers to the property of certain materials to generate an electrical charge in response to applied mechanical stress, used in some load cells for precise weight measurement.

[0009] Rule-Based Logic: The term "Rule-Based Logic" refers to a predefined decision-making approach used by the ECU (108) to classify detected load variations into different threat levels based on preset conditions.

[0010] Static Load Verification Sequence: The term "Static Load Verification Sequence" refers to a periodic process where the ECU (108) reassesses the vehicle’s baseline load to detect anomalies, ensuring accurate threat detection.

[0011] High-Threat Load Variation: The term "High-Threat Load Variation" refers to a significant deviation in load, such as a 1-5 kg increase indicating a possible bomb attachment or a 50+ kg increase suggesting human intrusion, triggering immediate alerts.

[0012] Dickey Load Monitoring: The term "Dickey Load Monitoring" refers to the continuous tracking of weight changes in the vehicle’s trunk (dickey) to detect unauthorized items or intrusions. The above definitions are in addition to those expressed in the art.

[0013] BACKGROUND

[0014] The background information herein below relates to the present disclosure but is not necessarily prior art.

[0015] In high-risk environments such as embassies, conflict zones, and high-profile public events, there is a significant threat of terrorist activities. Vehicles transporting dignitaries, government officials, military personnel, or valuable cargo are often targeted for sabotage or unauthorized access. Sensitive locations like military bases, government buildings, and industrial installations also face critical risks from unauthorized access or explosive threats. Public transportation systems, including buses and trains, are potential targets for mass casualty attacks. Commercial fleets transporting high-value goods or hazardous materials are susceptible to tampering or sabotage, necessitating advanced security measures.

[0016] Existing vehicle security systems primarily focus on theft prevention and basic monitoring functionalities, such as alarms, GPS tracking, and immobilizers. However, these systems are inadequate for detecting subtle threats like small explosive devices that can be easily hidden. They often rely on visual inspections or tampering detection, which are not reliable for identifying hidden bombs. Additionally, current systems provide basic intrusion monitoring through motion sensors or door sensors but fail to detect intruders hidden in non-visible compartments like the trunk.

[0017] A significant drawback of existing systems is the high rate of false alarms, often triggered by innocent movements such as animals, slight cargo shifts or inadvertent access. This diminishes their reliability and can lead to alarm fatigue, where users start ignoring alerts due to frequent false positives. Moreover, current vehicle security solutions do not differentiate between varying levels of threat, providing uniform alerts without distinguishing between minor and severe threats. This can result in inadequate or excessive responses, compromising the effectiveness of the security measures.

[0018] Therefore, there is felt a need for vehicle-integrated bomb and intrusion detection apparatus for a vehicle and a method thereof that alleviates the aforementioned drawbacks.

[0019] OBJECTS

[0020] Some of the objects of the present disclosure, which at least one embodiment herein satisfies, are as follows: It is an object of the present disclosure to ameliorate one or more problems of the prior art or to at least provide a useful alternative.

[0021] An object of the present disclosure is to provide vehicle-integrated bomb and intrusion detection apparatus for a vehicle

[0022] Another object of the present disclosure is to provide a vehicle-integrated bomb and intrusion detection apparatus that monitors load anomalies to mitigate significant threats.

[0023] Still another object of the present disclosure is to provide a vehicle-integrated bomb and intrusion detection apparatus that provides accurate localization of load variations within the vehicle, aiding in the identification of suspicious attachments or individuals.

[0024] Yet another object of the present disclosure is to provide a vehicle-integrated bomb and intrusion detection apparatus that provides image capturing that visually confirms detected anomalies.

[0025] Still another object of the present disclosure is to provide a vehicle-integrated bomb and intrusion detection apparatus that provides thorough monitoring via continuous and precise surveillance of the vehicle's load and distribution.

[0026] Still another object of the present disclosure is to provide a vehicle-integrated bomb and intrusion detection apparatus that provides real-time notifications to the Authorities and to the authorities in case of threats.

[0027] Yet another object of the present disclosure is to provide a vehicle-integrated bomb and intrusion detection apparatus that is capable of recognizing between threats and non-threats, thereby reducing false alarms.

[0028] Still another object of the present disclosure is to provide a vehicle-integrated bomb and intrusion detection apparatus that is adaptable to various types of vehicles, including trucks, buses, and motorcycles, thereby expanding its utility across diverse vehicle categories.

[0029] Yet another objective of the present disclosure is to provide a vehicle-integrated bomb and intrusion detection apparatus that provides advanced threat detection capabilities, configured to accommodate the integration of additional sensors in the future.

[0030] Still another object of the present disclosure is to provide a method for vehicle-integrated bomb and intrusion detection for vehicles. Other objects and advantages of the present disclosure will be more apparent from the following description when read in conjunction with the accompanying figures, which are not intended to limit the scope of the present disclosure.

[0031] SUMMARY

[0032] The present disclosure provides vehicle-integrated bomb and intrusion detection apparatus for a vehicle, the apparatus comprising a load cell, a camera, an Electronic Control Unit (ECU), a server, a user device, and an authority’s interface.

[0033] The camera strategically positioned to visually inspect critical areas of the vehicle, configured to capture images or videos of detected anomalies using digital image processing and computer vision techniques.

[0034] Electronic Control Unit (ECU) operatively connected to the load cell and the camera, configured to:

[0035] • receive continuous data inputs from the load cell;

[0036] • analyse fluctuations in the load against the baseline load using advanced algorithms to detect significant deviations;

[0037] • differentiate between minor and major deviations; and

[0038] • initiate corresponding alerts based on the detected deviations;

[0039] The server in communication with the ECU, configured to store data securely and coordinate the dispatch of alerts using cloud computing and data communication protocols; and

[0040] The user device is integrated with the ECU and the server and configured to receive real-time notifications on a device that detects anomalies.

[0041] In an embodiment, the load cell utilizes strain gauges and piezoelectric effect elements to generate precise electrical signals corresponding to the mechanical strain and is connected to the ECU via insulated wiring for accurate data transmission.

[0042] In an embodiment, an authority’s interface in communication with the server is configured to notify authorities of potential threats. In an embodiment, the ECU is configured to detect a load change in the range of 1 to 5 kg, indicative of a potential bomb attachment, and transmit an alert including a location of the load change on the vehicle to the user device and the authority’s interface .

[0043] In an embodiment, the ECU is further configured to detect a load increase of approximately 50 kg, indicative of a potential human intrusion, and trigger an intruder-specific alert to the user device and the authority’s interface using rule-based logic.

[0044] In an embodiment, the ECU is configured to identify a substantial decrease in load compared to the baseline load, indicative of an unattended vehicle or missing vehicle parts and generate an alert to the user device for notification to the authorities.

[0045] In an embodiment, the load cell is integrated within a dickey (trunk) area of the vehicle to continuously monitor the dickey load, and the ECU is configured to:

[0046] • process dickey load data in real-time;

[0047] • detect significant anomalies in the dickey load; and

[0048] • trigger an alert to the dashboard of the vehicle or the user device to ensure safe driving conditions.

[0049] In an embodiment, the ECU is configured to differentiate minor load fluctuations caused by innocent movements, such as animals or slight cargo shifts, from significant disturbances, thereby reducing false alarms.

[0050] In an embodiment, the load cell is strategically positioned across the chassis of the vehicle, configured to monitor the total load and load distribution of the vehicle by converting mechanical strain into electrical signals and establishing a baseline load when the vehicle is in a parked or neutral state;

[0051] In an embodiment, the camera is configured to perform an automatic inspection of the vehicle by scanning for anomalies and capturing images or videos, and the authorities can remotely enable the camera via the user device to facilitate the automatic inspection.

[0052] In an embodiment, the ECU uses advanced algorithms to analyse data from the load cell and accurately identify an exact location of a load change within the vehicle, enabling precise identification of suspicious items or individuals. In an embodiment, the server is configured to initiate automated notifications to law enforcement or bomb squads via pre-configured emergency protocols, including SMS, email, or automated calls, upon detection of a potential explosive device by the ECU.

[0053] In an embodiment, the user device is configured to notify the vehicle owner of anomalies detected while the vehicle is unattended, providing options for automatic inspection via the camera or manual inspection by the vehicle owner before starting the vehicle.

[0054] In an embodiment, the apparatus is adaptable to a plurality of vehicle types, including luxury sedans, armoured vehicles, and executive transport vehicles, and is designed to accommodate the integration of additional sensors for enhanced threat detection capabilities.

[0055] In an embodiment, the ECU is configured to monitor load variations when the vehicle is parked or in a static state and detect a minor load increase in the range of 0.05 to 0.5 kg, indicative of small animal activity such as a mouse, triggering a low-priority notification to the user device for the authorities.

[0056] In an embodiment, the load cell is positioned to monitor a bonnet (hood) of the vehicle , and the ECU is configured to detect a load variation in the range of 5 to 20 kg when the vehicle is parked or static, indicative of unauthorized storage or tampering in the bonnet, triggering a medium-priority alert to the user device with an option for the vehicle owner to activate the camera for visual confirmation.

[0057] In an embodiment, the load cell is configured to monitor a dickey (trunk) of the vehicle and the ECU is configured to detect a load increase of approximately 50 kg in the dickey when the vehicle is parked or static, indicative of a human presence, triggering an intruder- specific alert to the user device and the authority’s interface.

[0058] In an embodiment, the ECU is configured to perform a static load verification sequence when the vehicle is parked or static, comprising:

[0059] • re-establishing the baseline load at periodic intervals;

[0060] • comparing real-time load data against the baseline load to detect variations;

[0061] • categorizing detected variations into low-threat scenarios, such as a load change below 0.5 kg due to small animals, medium-threat scenarios, such as a load change of 5 to 20 kg due to storage items, and high-threat scenarios, such as a load change above 50 kg due to a human presence or 1 to 5 kg due to a potential bomb; and

[0062] • selectively triggering alerts to the user device for low- and medium-threat scenarios and to both the user device and the authority’s interface for high-threat scenarios.

[0063] In an embodiment, the load cell is configured to monitor both a dickey (trunk) and a bonnet (hood) of the vehicle, and the ECU is configured to detect a load variation in the range of 1 to 5 kg in either the dickey or bonnet when the vehicle is parked or static, indicative of a potential bomb attachment, triggering a high-priority alert to the user device and the authority’s interface with precise location data and camera activation for visual confirmation.

[0064] The present disclosure provides a method for detecting bombs and intrusions in a vehicle using a vehicle-integrated advanced bomb and intrusion detection apparatus, the method comprising:

[0065] • monitoring the total load and load distribution of the vehicle using a load cell strategically positioned across the chassis of the vehicle;

[0066] • establishing a baseline load when the vehicle is in a parked or neutral state;

[0067] • capturing images or videos of critical areas of the vehicle using a camera ;

[0068] • analysing load fluctuations against the baseline load using an Electronic Control Unit (ECU) to detect significant deviations;

[0069] • differentiating between minor and major deviations using advanced algorithms in the ECU ;

[0070] • transmitting data from the ECU to a server for secure storage and alert coordination; and

[0071] • alerting potential threats via a user device and an authority’s interface.

[0072] In an embodiment, the method further comprises detecting a load change in the range of 1 to 5 kg indicative of a potential bomb attachment and transmitting an alert including a location of the load change to the user device and the authority’s interface.

[0073] In an embodiment, the method further comprises detecting a load increase of approximately 50 kg indicative of a potential human intrusion, and triggering an intruder- specific alert to the user device and the authority’s interface.

[0074] In an embodiment, the method further comprises: • monitoring load variations in a dickey (trunk) of the vehicle using the load cell when the vehicle is parked or in a static state;

[0075] • detecting a load increase of approximately 50 kg, indicative of a human presence in the dickey;

[0076] • activating the camera to capture images or videos of the dickey; and

[0077] • transmitting an intruder- specific alert with visual confirmation to the user device and the authority’s interface.

[0078] In an embodiment, the method further comprises:

[0079] • monitoring load variations in a bonnet (hood) of the vehicle using the load cell when the vehicle is parked or in a static state;

[0080] • detecting a load variation in the range of 5 to 20 kg, indicative of unauthorized storage or tampering in the bonnet;

[0081] • activating the camera to capture images or videos of the bonnet; and

[0082] • transmitting a medium-priority alert with visual confirmation to the user device for the authorities to review.

[0083] BRIEF DESCRIPTION OF ACCOMPANYING DRAWING

[0084] Vehicle-Integrated Bomb and Intrusion Detection Apparatus For A Vehicle And A Method Thereof of the present disclosure will now be described with the help of the accompanying drawing, in which:

[0085] Figure 1 illustrates the architecture of a vehicle integrated advanced bomb and intrusion detection system in accordance with the present disclosure; and

[0086] Figure 2 illustrates a method of the system, in accordance with the present disclosure.

[0087] LIST OF REFERENCE NUMERALS USED IN DETAILED DESCRIPTION AND DRAWING

[0088] 100 - Vehicle-integrated advanced bomb and intrusion detection apparatus

[0089] 102 - Vehicle

[0090] 104 - Load cell

[0091] 106 - Camera 108 - Electronic Control Unit (ECU)

[0092] 110 - Server

[0093] 112 - User device

[0094] 116 - Authority’s interface

[0095] 118 - Authorities

[0096] 200-212- Method and method steps

[0097] DETAILED DESCRIPTION

[0098] Embodiments, of the present disclosure, will now be described with reference to the accompanying drawing.

[0099] Embodiments are provided so as to thoroughly and fully convey the scope of the present disclosure to the person skilled in the art. Numerous details, are set forth, relating to specific components, and methods, to provide a complete understanding of embodiments of the present disclosure. It will be apparent to the person skilled in the art that the details provided in the embodiments should not be construed to limit the scope of the present disclosure. In some embodiments, well-known processes, well-known apparatus structures, and well-known techniques are not described in detail.

[0100] The terminology used, in the present disclosure, is only for the purpose of explaining a particular embodiment and such terminology shall not be considered to limit the scope of the present disclosure. As used in the present disclosure, the forms "a,” "an," and "the" may be intended to include the plural forms as well, unless the context clearly suggests otherwise. The terms "comprises," "comprising," “including,” and “having,” are open ended transitional phrases and therefore specify the presence of stated features, elements, modules, units, and / or components, but do not forbid the presence or addition of one or more other features, elements, components, and / or groups thereof.

[0101] In accordance with one aspect of the present disclosure, there is disclosed a vehicle-integrated bomb and intrusion detection apparatus for a vehicle and a method thereof.

[0102] Figure 1 depicts the architecture of the system which can consist of a load cell, a camera, an Electronic Control Unit (ECU), a server, a user device, and an authority interface. In one embodiment of the present disclosure, a vehicle (102) can be equipped with a strategically positioned load cell (104) across the chassis to monitor both total load and load distribution. The load cell (104) can utilize advanced technologies such as strain gauges and the piezoelectric effect, converting mechanical strain into electrical signals. When the vehicle (102) is parked or is in a neutral state, the load cell (104) establishes a baseline load. The load cell (104) can be connected to the ECU (108) through insulated wiring to ensure precise data transmission. The load cell (104) can continuously relay data to the ECU (108), which analyses fluctuations in the vehicle’s load.

[0103] Referring to Figure 1, a vehicle-integrated bomb and intrusion detection apparatus (100) is configured specifically for a vehicle (102), such as luxury sedans, armoured vehicles, or executive transport vehicles. The apparatus (100) is engineered to enhance vehicle security by detecting potential threats, including explosive devices, unauthorized human intrusion, and tampering, through a sophisticated integration of sensors, imaging systems, and data processing technologies. It provides real-time monitoring, precise threat identification, and automated alert mechanisms to ensure the safety of the Authorities (118) while coordinating with authorities (118) to mitigate risks when necessary.

[0104] The apparatus (100) consists of a load cell (104) strategically positioned across the chassis of the vehicle (102), including specific placements within the dickey (trunk) and bonnet (hood) areas, to monitor the total load and load distribution. This load cell (104) converts mechanical strain into precise electrical signals using strain gauges and piezoelectric effect elements, establishing a baseline load when the vehicle (102) is in a parked or neutral state to serve as a reference for anomaly detection. The load cell (104) is connected to an Electronic Control Unit (ECU) (108) via insulated wiring, ensuring accurate and reliable data transmission. Additionally, a camera (106) is strategically positioned to visually inspect critical areas of the vehicle (102), such as the undercarriage, dickey, bonnet, and other vulnerable points. This camera (106) employs digital image processing and computer vision techniques to capture high-resolution images or videos of detected anomalies, with the Authorities (118) able to remotely enable the camera (106) via a user device (112) to facilitate automatic inspections.

[0105] In an embodiment, load cell (104) applies pressure on the strain gauge, causing deformation, which is then converted into an electrical signal to measure weight or force. The ECU (108), acting as the central processing hub, is operatively connected to both the load cell (104) and the camera (106). It receives continuous data inputs from the load cell (104) and uses advanced algorithms to analyse fluctuations in the load against the baseline, distinguishing between minor deviations — such as those caused by small animals or slight cargo shifts — and major deviations that may indicate a bomb or human intrusion. Depending on the severity and nature of these deviations, the ECU (108) initiates corresponding alerts, ranging from low-priority notifications to high-priority emergency dispatches. A server (110) communicates with the ECU (108) through cloud computing and data communication protocols, securely storing all generated data and coordinating the dispatch of alerts. This server (110) can initiate automated notifications to law enforcement or bomb squads, herein referred to as authorities (118), via pre-configured emergency protocols, including SMS, email, or automated calls, upon detection of a potential explosive device by the ECU (108). A user device (112), integrated with the ECU (108) and server (110), receives real-time notifications of detected anomalies, providing the Authorities (118) with options for automatic inspection via the camera (106) or manual inspection before starting the vehicle (102).

[0106] In an exemplary embodiment, the camera (106) is configured to activate automatically when the high-end vehicle (102) is parked or in a static state and a load differentiation is detected by the load cell (104). Upon identifying a significant deviation from the baseline load, the ECU (108) triggers the camera (106) to capture snapshots or record video of the affected area. The captured images or footage are then transmitted to the user device (112) and, if necessary, to the authority’s interface (116) for further assessment.

[0107] The load cell’s (104) functionality is highly precise and capable of detecting a load change in the range of 1 to 5 kg, which may indicate a potential bomb attachment. In such cases, the ECU (108) transmits an alert that includes the exact location of the load change on the vehicle (102) to both the user device (112) and an authority’s interface (116), which is in communication with the server (110) to notify authorities (118) of potential threats. The ECU (108) is also configured to detect a load increase of approximately 50 kg, suggestive of a human intrusion, triggering an intruder- specific alert to the user device (112) and authority’s interface (116) using rule-based logic. Furthermore, it can identify a substantial decrease in load compared to the baseline, indicating an unattended vehicle (102) or missing parts, and generate an alert to the user device (112) for notification to the Authorities (118). When monitoring the dickey area, the load cell (104) continuously tracks the load, and the ECU (108) processes this data in real-time to detect significant anomalies, triggering an alert to the dashboard of the vehicle (102) or user device (112) to ensure safe driving conditions.

[0108] To reduce false alarms, the ECU (108) differentiates minor load fluctuations caused by innocent movements — such as those from animals or slight cargo shifts — from significant disturbances requiring action. The camera (106) complements this by performing automatic inspections, scanning for anomalies, and capturing images or videos, which the Authorities (118) can review remotely via the user device (112). The ECU’s (108) advanced algorithms further enable it to accurately identify the exact location of a load change within the vehicle (102), facilitating precise identification of suspicious items or individuals. The apparatus (100) is adaptable to various vehicle (102) types and designed to accommodate additional sensors for enhanced threat detection capabilities.

[0109] When the vehicle (102) is parked or static, the ECU (108) monitors load variations with high sensitivity. It can detect a minor load increase in the range of 0.05 to 0.5 kg, indicative of small animal activity such as a mouse, triggering a low-priority notification to the user device (112) for the authorities. For the bonnet, the load cell (104) detects variations in the range of 5 to 20 kg, suggestive of unauthorized storage or tampering, prompting a medium-priority alert to the user device (112) with an option for the authorities (118) to activate the camera (106) for visual confirmation. In the dickey, a load increase of approximately 50 kg signals a potential human presence, resulting in an intruder-specific alert to both the user device (112) and the authority’s interface (116). Similarly, a load variation of 1 to 5 kg in either the dickey or bonnet may indicate a bomb attachment, triggering a high-priority alert with precise location data and camera (106) activation for visual confirmation to the user device (112) and authority’s interface (116).

[0110] The ECU (108) performs a static load verification sequence when the vehicle (102) is parked or static, re-establishing the baseline load at periodic intervals and comparing real-time load data against it to detect variations. These variations are categorized into low-threat scenarios, such as a load change below 0.5 kg due to small animals; medium-threat scenarios, such as a load change of 5 to 20 kg due to storage items; and high-threat scenarios, such as a load change above 50 kg due to a human presence or 1 to 5 kg due to a potential bomb. Alerts are selectively triggered, with low- and medium-threat scenarios notifying the user device (112), while high-threat scenarios alert both the user device (112) and the authority’s interface (116). This comprehensive system ensures that the apparatus (100) not only detects a wide range of potential threats to the vehicle (102) but also provides actionable, prioritized responses tailored to the specific nature and severity of each detected anomaly, making it an invaluable security enhancement for the Authorities (118) and authorities (118).

[0111] Referring to Figure 2, the present disclosure provides a method (200) vehicle-integrated bomb and intrusion detection for a vehicle, the method (200) comprises:

[0112] At step 202, the method (200) comprises establishing a baseline load when the vehicle (102) is in a parked or neutral state.

[0113] At step 204, the method (200) comprises capturing images or videos of critical areas of the vehicle (102) using a camera (106).

[0114] At step 206, the method (200) comprises analysing load fluctuations against the baseline load using an Electronic Control Unit (ECU) (108) to detect significant deviations.

[0115] At step 208, the method (200) comprises differentiating between minor and major deviations using advanced algorithms in the ECU (108).

[0116] At step 210, the method (200) comprises transmitting data from the ECU (108) to a server (110) for secure storage and alert coordination.

[0117] At step 212, the method (200) comprises alerting potential threats via a user device (112) and an authority’s interface (116).

[0118] In an embodiment, the method (200) further comprises detecting a load change in the range of 1 to 5 kg indicative of a potential bomb attachment and transmitting an alert including a location of the load change to said user device (112) and said authority’s interface (116).

[0119] In an embodiment, the method (200) further comprises detecting a load increase of approximately 50 kg indicative of a potential human intrusion and triggering an intruderspecific alert to said user device (112) and said authority’s interface (116).

[0120] In an embodiment, the method (200) further comprises: • monitoring load variations in a dickey (trunk) of the vehicle (102) using the load cell (104) when the vehicle (102) is parked or in a static state;

[0121] • detecting a load increase of approximately 50 kg, indicative of a human presence in the dickey;

[0122] • activating the camera (106) to capture images or videos of the dickey; and

[0123] • transmitting an intruder- specific alert with visual confirmation to the user device (112) and the authority’s interface (116).

[0124] In an embodiment, the method (200) further comprises:

[0125] • monitoring load variations in a bonnet (hood) of the vehicle (102) using the load cell (104) when the vehicle (102) is parked or in a static state;

[0126] • detecting a load variation in the range of 5 to 20 kg, indicative of unauthorized storage or tampering in the bonnet;

[0127] • activating the camera (106) to capture images or videos of the bonnet; and

[0128] • transmitting a medium-priority alert with visual confirmation to the user device (112) for the Authorities (118) to review.

[0129] The present disclosure provides vehicle-integrated bomb and intrusion detection apparatus for a vehicle and a method thereof, demonstrated through the following anecdotal examples to illustrate its functionality and practical applications.

[0130] In an example, a user from a special forces reconnaissance team parks their stealth-equipped vehicle in a dense urban area during a surveillance operation. As they monitor a target, a curious local places a 2 kg object near the undercarriage, possibly mistaking it for abandoned equipment. The apparatus (100) detects this via its sensitive system (104), and the processing unit (108) identifies it as a potential explosive threat within the critical weight range. An immediate high-priority alert, complete with camera (106) imagery and location data, is sent to the user’s device (112) and the authorities’ interface (116), enabling the team to discreetly secure the area and confirm it’s a false alarm, maintaining operational secrecy.

[0131] In an example, a user who is a foreign ambassador parks their armoured sedan outside an embassy during a tense diplomatic negotiation. Late at night, an intruder attempts to tamper with the bonnet, adding a 7 kg load of unauthorized gear. The apparatus (100) registers this through its detection system (104), and the central unit (108) flags it as a medium threat tampering event. The user receives an alert on their device (112) with an option to activate the camera (106), while the system (108) logs the incident via the server (110). Viewing the footage, the user alerts embassy security, who remove the gear before any escalation, protecting sensitive diplomatic assets.

[0132] In an example, a user from a VIP protection detail stations their vehicle (102) at a secluded retreat for a high-profile client. During the night, a 60 kg assailant hides in the dickey, intending to ambush the occupant. The apparatus (100) detects this substantial load increase through its monitoring system (104), and the processing unit (108) triggers an intruderspecific high-threat alert to the user’s device (112) and the authorities’ interface (116). The camera (106) captures clear video evidence, allowing the user to coordinate with backup forces to apprehend the intruder silently, ensuring the VIP’s safety without raising public alarm.

[0133] In an example, a user who is a national security official parks their executive transport vehicle at a classified facility. While they attend a briefing, a maintenance crew accidentally leaves a 12 kg toolset in the dickey after a routine check. The apparatus (100) senses this via its system (104), and the central unit (108) categorizes it as a medium-threat anomaly, sending an alert to the user’s device (112). The user activates the camera (106) remotely, confirms it’s a harmless oversight, and instructs the crew to retrieve it, appreciating the system’s vigilance in a high-security zone.

[0134] In an example, a user from a special forces extraction team leaves their reinforced vehicle in a volatile conflict zone during a rescue mission. A sudden 1.5 kg load shift occurs when a piece of debris falls onto the chassis amid nearby explosions. The apparatus (100) detects this through its system (104), and the processing unit (108) flags it as a potential bomb attachment, prompting an urgent alert to the user’s device (112) and the authorities’ interface (116). The camera (106) provides visual confirmation of the debris, allowing the user to dismiss the alert and focus on the mission, trusting the system’s rapid response in chaotic conditions.

[0135] In an example, a user who is a visiting dignitary parks their luxury sedan at a ceremonial motorcade staging area. During preparations, a strong wind blows a 0.3 kg decorative banner onto the bonnet. The apparatus (100) picks up this minor change via its detection system (104), and the central unit (108) classifies it as a low-threat event, sending a subtle notification to the user’s device (112). The user glances at the alert, opts not to activate the camera (106), and calmly asks an aide to remove the banner, valuing the system’s ability to filter out trivial disruptions in a prestigious setting.

[0136] In an operative configuration, the vehicle-integrated bomb and intrusion detection apparatus for a vehicle is fully engaged to secure the vehicle (102) when parked or static, with the load cell (104) actively monitoring the chassis, including the dickey and bonnet areas, by converting mechanical strain into electrical signals via strain gauges and piezoelectric elements, establishing a baseline load that the Electronic Control Unit (ECU) (108) uses as a reference for real-time analysis. The ECU (108), operatively connected to the load cell (104) through insulated wiring and to the camera (106), continuously receives load data and employs advanced algorithms to detect deviations, such as a minor increase of 0.05 to 0.5 kg from small animal activity, a 1 to 5 kg shift indicating a potential bomb, a 5 to 20 kg change suggesting tampering, or a 50 kg surge signalling human intrusion, categorizing these into low-, medium-, and high-threat scenarios. Upon detecting an anomaly, the ECU (108) triggers the camera (106) to capture images or videos of critical areas using digital image processing, while simultaneously sending precise location data and threat-specific alerts to the user device (112) for the Authorities (118) and, for high-threat scenarios, to the authority’s interface (116) via the server (110). The server (110), in communication with the ECU (108) through cloud protocols, securely logs all data and coordinates automated emergency notifications to authorities (118) via SMS, email, or calls, while the user device (112) provides the Authorities (118) options to remotely activate the camera (106) for visual confirmation or initiate manual inspection, ensuring a responsive and integrated security system tailored to the vehicle’s (102) protection.

[0137] Advantageously, the present disclosure provides a robust and highly adaptive security solution for vehicles, offering unparalleled protection against a wide range of threats, including explosive devices, unauthorized human intrusion, and tampering, through precise and real-time threat detection. This disclosure ensures enhanced safety for Authorities s by delivering immediate notifications of anomalies, enabling prompt responses that can prevent potential harm or damage, while also reducing the risk of false alarms through sophisticated differentiation of minor disturbances from significant dangers. Its seamless integration into various luxury vehicle types broadens its applicability, making it a versatile safeguard for executive transport and armoured fleets alike. Furthermore, the system’s ability to pinpoint the exact location of a detected issue empowers owners and authorities with actionable insights, facilitating swift and targeted interventions. By automating emergency alerts to law enforcement, it bridges the gap between detection and response, significantly improving outcomes in critical situations. The remote inspection capability adds an additional layer of convenience and control, allowing owners to assess threats without immediate physical presence, thereby enhancing both security and peace of mind. Collectively, these benefits establish a proactive, reliable, and cutting-edge approach to vehicle protection, setting a new standard for safety in the realm of high-value automotive assets.

[0138] The functions described herein may be implemented in hardware, executed by a processor, firmware, or any combination thereof. Other examples and implementations are within the scope and spirit of the disclosure and appended claims. The present disclosure can be implemented by a processor, hardware, firmware, hardwiring, or combinations of any of these. Features implementing functions may also be physically located at various positions, including distributed such that portions of functions are implemented at different physical locations.

[0139] The foregoing description of the embodiments has been provided for purposes of illustration and not intended to limit the scope of the present disclosure. Individual components of a particular embodiment are generally not limited to that particular embodiment, but, are interchangeable. Such variations are not to be regarded as a departure from the present disclosure, and all such modifications are considered to be within the scope of the present disclosure.

[0140] TECHNICAL ADVANCES AND ECONOMICAL SIGNIFICANCE

[0141] The present disclosure described herein above has several technical advantages including, but not limited to, the realization of a vehicle-integrated bomb and intrusion detection apparatus for a vehicle and a method thereof, that:

[0142] • provide solutions to problems of the prior art, offering a valuable alternative;

[0143] • provides safety for high dignitaries or a person with a threat;

[0144] • integrate an advanced bomb and intrusion detection system within the vehicle to enhance safety and security;

[0145] • intelligently monitor load anomalies to mitigate significant threats and ensure better detection and response; • accurately localize load variations to identify suspicious attachments or individuals and enhance security;

[0146] • uses an image capturing system to visually confirm detected anomalies for reliable verification;

[0147] • monitors the vehicle's load and distribution for thorough monitoring and increased safety;

[0148] • provides real-time notifications to the Authorities (118)and authorities in case of threats for prompt action;

[0149] • distinguishes between threats and non-threats to reduce false alarms and ensure reliable detection;

[0150] • enhances visual confirmation that accelerates response time and enables more precise threat mitigation strategies;

[0151] • empowering decision-makers with critical information for effective and well- informed responses;

[0152] • provides real-time data on load and load distribution which supports operational efficiency by enabling more reliable allocation and management of resources;

[0153] • enable Authorities to remotely monitor vehicle’s security status in real-time by receiving immediate alerts on their mobile devices; and

[0154] • improves the system’s reliability for threat detection by minimizing false alarms, ensuring that security responses are effectively targeted towards actual threats.

[0155] The foregoing description of the specific embodiments so fully reveals the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and / or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein. Throughout this specification the word “comprise”, or variations such as “comprises” or “comprising”, will be understood to imply the inclusion of a stated element, or group of elements, but not the exclusion of any other element, or group of elements. While considerable emphasis has been placed herein on the components and component parts of the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiment as well as other embodiments of the disclosure will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the disclosure and not as a limitation

Claims

CLAIMS:

1. A vehicle-integrated bomb and intrusion detection apparatus (100) for a vehicle (102), said apparatus (100) comprising:• a camera (106) strategically positioned to visually inspect critical areas of said vehicle (102), configured to capture images or videos of detected anomalies using digital image processing and computer vision techniques;• an Electronic Control Unit (ECU) (108) operatively connected to said load cell (104) and said camera (106), configured to: o receive continuous data inputs from said load cell (104); o analyse fluctuations in the load against the baseline load using advanced algorithms to detect significant deviations; o differentiate between minor and major deviations; and o initiate corresponding alerts based on the detected deviations;• a server (110) in communication with said ECU (108), configured to store data securely and coordinate the dispatch of alerts using cloud computing and data communication protocols; and• a user device (112) integrated with said ECU (108) and said server (110), configured to receive real-time notifications on a device (112) of detected anomalies.

2. The apparatus (100) as claimed in claim 1, wherein a load cell (104) strategically positioned across a chassis of said vehicle (102), configured to monitor the total load and load distribution of said vehicle (102) by converting mechanical strain into electrical signals and establishing a baseline load when said vehicle (102) is in a parked or neutral state.

3. The apparatus (100) as claimed in claim 1, wherein a mass (weight) measuring unit could be load cell (104)4. The apparatus (100) as claimed in claim 1, wherein said load cell (104) utilizes strain gauges and piezoelectric effect elements to generate precise electrical signals corresponding to the mechanical strain and is connected to the ECU (108) via insulated wiring for accurate data transmission.

5. The apparatus (100) as claimed in claim 1, wherein an authority’s interface (116) in communication with the server (110), is configured to notify authorities (118) of potential threats.

6. The apparatus (100) as claimed in claim 1, wherein said ECU (108) is configured to detect a load change in the range of 1 to 5 kg, indicative of a potential bomb attachment, and transmit an alert including a location of the load change on the vehicle to the user device (112) and the authority’s interface (116).

7. The apparatus (100) as claimed in claim 1, wherein said ECU (108) is further configured to detect a load increase of approximately 50 kg, indicative of a potential human intrusion, and trigger an intruder-specific alert to the user device (112) and the authority’s interface (116) using rule-based logic.

8. The apparatus (100) as claimed in claim 1, wherein said ECU (108) is configured to identify a substantial decrease in load compared to the baseline load, indicative of an unattended vehicle (102) or missing vehicle parts and generate an alert to the user device (112) for notification to the Authorities (118).

9. The apparatus (100) as claimed in claim 1, wherein said load cell (104) is integrated within a dickey (trunk) area of the vehicle (102) to continuously monitor dickey load, and the ECU (108) is configured to:• process dickey load data in real-time;• detect significant anomalies in the dickey load; and• trigger an alert to a dashboard of the vehicle (102) or the user device (112) to ensure safe driving conditions.

10. The apparatus (100) as claimed in claim 1, wherein said ECU (108) is configured to differentiate minor load fluctuations caused by innocent movements, such as animals or slight cargo shifts, from significant disturbances, thereby reducing false alarms.

11. The apparatus (100) as claimed in claim 1, wherein said camera (106) is configured to perform an automatic inspection of the vehicle (102) by scanning for anomalies and capturing images or videos, and the Authorities (118) can remotely enable the camera (106) via the user device (112) to facilitate the automatic inspection.

12. The apparatus (100) as claimed in claim 1, wherein said ECU (108) uses advanced algorithms to analyse data from the load cell (104) and accurately identify an exact location of a load change within the vehicle (102), enabling precise identification of suspicious items or individuals.

13. The apparatus (100) as claimed in claim 1, wherein said server (110) is configured to initiate automated notifications to law enforcement or bomb squads via pre-configured emergency protocols, including SMS, email, or automated calls, upon detection of a potential explosive device by said ECU (108).

14. The apparatus (100) as claimed in claim 1, wherein said user device (112) is configured to notify the Authorities (118) of anomalies detected while the vehicle (102) was unattended, providing options for automatic inspection via the camera (106) or manual inspection by said Authorities (118) before starting said vehicle (102).

15. The apparatus (100) as claimed in claim 1, wherein said apparatus (100) is adaptable to a plurality of vehicle types, including luxury sedans, armoured vehicles, and executive transport vehicles, and is designed to accommodate the integration of additional sensors for enhanced threat detection capabilities.

16. The apparatus (100) as claimed in claim 1, wherein said ECU (108) is configured to monitor load variations when the vehicle (102) is parked or in a static state, and detect a minor load increase in the range of 0.05 to 0.5 kg, indicative of small animal activity such as a mouse, triggering a low-priority notification to the user device (112) for the Authorities (118).

17. The apparatus (100) as claimed in claim 1, wherein said load cell (104) is positioned to monitor a bonnet (hood) of the vehicle (102), and the ECU (108) is configured to detect a load variation in the range of 5 to 20 kg when the vehicle (102) is parked or static, indicative of unauthorized storage or tampering in the bonnet, triggering a mediumpriority alert to the user device (112) with an option for the Authorities (118) to activate the camera (106) for visual confirmation.

18. The apparatus (100) as claimed in claim 1, wherein said load cell (104) is configured to monitor a dickey (trunk) of the vehicle (102), and the ECU (108) is configured to detect a load increase of approximately 50 kg in the dickey when the vehicle (102) is parked or static, indicative of a human presence, triggering an intruder-specific alert to the user device (112) and the authority’s interface (116).

19. The apparatus (100) as claimed in claim 1, wherein said ECU (108) is configured to perform a static load verification sequence when the vehicle (102) is parked or static, comprising: re-establishing the baseline load at periodic intervals; comparing real-time load data against the baseline load to detect variations;• categorizing detected variations into low-threat scenarios, such as a load change below 0.5 kg due to small animals, medium-threat scenarios, such as a load change of 5 to 20 kg due to storage items, and high-threat scenarios, such as a load change above 50 kg due to a human presence or 1 to 5 kg due to a potential bomb; and• selectively triggering alerts to the user device (112) for low- and medium-threat scenarios and to both the user device (112) and the authority’s interface (116) for high-threat scenarios.

20. The apparatus (100) as claimed in claim 1, wherein said load cell (104) is configured to monitor both a dickey (trunk) and a bonnet (hood) of the vehicle (102), and the ECU (108) is configured to detect a load variation in the range of 1 to 5 kg in either the dickey or bonnet when the vehicle (102) is parked or static, indicative of a potential bomb attachment, triggering a high-priority alert to the user device (112) and the authority’s interface (116) with precise location data and camera (106) activation for visual confirmation.

21. A method (200) for detecting bombs and intrusions in a vehicle (102) using a vehicle- integrated advanced bomb and intrusion detection apparatus (100), said method (200) comprising:• monitoring a total load and load distribution of the vehicle (102) using a load cell (104) strategically positioned across the chassis of the vehicle (102);• establishing a baseline load when the vehicle (102) is in a parked or neutral state;• capturing images or videos of critical areas of the vehicle (102) using a camera (106);• analysing load fluctuations against the baseline load using an Electronic Control Unit (ECU) (108) to detect significant deviations;• differentiating between minor and major deviations using advanced algorithms in the ECU (108);• transmitting data from the ECU (108) to a server (110) for secure storage and alert coordination; and• alerting potential threats via a user device (112) and an authority’s interface (116).

22. The method (200) as claimed in claim 19, further comprises detecting a load change in the range of 1 to 5 kg indicative of a potential bomb attachment and transmitting an alertincluding a location of the load change to said user device (112) and said authority’s interface (116).

23. The method (200) as claimed in claim 19, further comprises detecting a load increase of approximately 50 kg indicative of a potential human intrusion and triggering an intruderspecific alert to said user device (112) and said authority’s interface (116).

24. The method (200) as claimed in claim 19, further comprises:• monitoring load variations in a dickey (trunk) of the vehicle (102) using the load cell (104) when the vehicle (102) is parked or in a static state;• detecting a load increase of approximately 50 kg, indicative of a human presence in the dickey;• activating the camera (106) to capture images or videos of the dickey; and• transmitting an intruder- specific alert with visual confirmation to the user device (112) and the authority’s interface (116).

25. The method (200) as claimed in claim 19, further comprises:• monitoring load variations in a bonnet (hood) of the vehicle (102) using the load cell (104) when the vehicle (102) is parked or in a static state;• detecting a load variation in the range of 5 to 20 kg, indicative of unauthorized storage or tampering in the bonnet;• activating the camera (106) to capture images or videos of the bonnet; and• transmitting a medium-priority alert with visual confirmation to the user device (112) for the Authorities (118) to review.

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