Multifunctional smoking behavior monitoring device
By using a multi-functional smoking behavior monitoring device that combines image acquisition, smoke detection, and facial recognition technologies, the shortcomings of traditional monitoring methods have been overcome, achieving high-precision monitoring and management of smoking behavior.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- 储亚远
- Filing Date
- 2025-05-14
- Publication Date
- 2026-04-24
AI Technical Summary
Traditional smoking monitoring relies on manual patrols and smoke alarms, which suffer from incomplete monitoring, low accuracy, and inability to accurately locate and track smokers, making it difficult to effectively manage illegal smoking behavior.
This multi-functional monitoring device, which employs an image acquisition system, a smoke detection module, and a main control module, combines thermal imaging, motion capture, and facial recognition technologies to achieve multi-dimensional monitoring of smoking behavior. The records are then uploaded to a cloud platform for intelligent management via a communication module.
It improves the accuracy of smoking behavior monitoring, reduces false alarm rates, can accurately locate smokers and generate key monitoring lists, and improves management efficiency.
Smart Images

Figure CN224164000U_ABST
Abstract
Description
Technical Field
[0001] This utility model belongs to the field of intelligent monitoring, specifically a multifunctional smoking behavior monitoring device. Background Technology
[0002] Smoking in indoor public areas, key fire prevention areas (warehouses / factory workshops), places with high hygiene and safety requirements (hospitals / schools), and forest fire prevention and tourist attractions may cause fires, environmental pollution, and health hazards.
[0003] Traditional smoking monitoring relies heavily on manual patrols and alarm systems. In large venues, the long intervals between manual patrols make it easy to miss smoking, leading to undetected fire hazards. Furthermore, relying solely on smoke alarms is susceptible to interference from other smoke sources (such as cooking fumes, factory dust, and dust), causing false alarms and complicating management. Even after smoking is detected, traditional methods struggle to identify the smoker, hindering targeted monitoring and management of smokers and making subsequent investigation difficult. In areas where strict smoking bans are necessary, this situation makes violations persistent. Utility Model Content
[0004] To address the aforementioned technical problems, this utility model provides a multifunctional smoking behavior monitoring device to solve the problems of traditional smoking monitoring relying mainly on manual patrols and alarm monitoring, which result in incomplete monitoring, low accuracy, and inability to accurately locate and track.
[0005] A multifunctional smoking behavior monitoring device includes a mounting bracket, on which a housing with an image acquisition window and a smoke detection window is mounted, and on which an image acquisition system, a smoke detection module and a main control module are mounted;
[0006] The image acquisition system includes a thermal imaging module and a visible light camera module. The thermal imaging module is used to detect ambient temperature, and the visible light camera module is used for 3D motion depth capture and high-definition face recognition.
[0007] The smoke collection module is used to collect and monitor the smoke concentration in the surrounding environment;
[0008] The main control module is used to process and analyze data from the smoke collection module and the image acquisition system, and to determine whether smoking behavior exists based on preset rules.
[0009] Preferably, the mounting bracket can be a fixed bracket or a gimbal bracket.
[0010] Preferably, the thermal imaging module and the visible light camera module adopt a coaxial calibration design, and the visible light camera module consists of a motion capture module and a face recognition module.
[0011] Preferably, the main control module consists of a data processing unit, a logic judgment unit, and a storage unit.
[0012] Preferably, the housing is further provided with an audio acquisition module for collecting ambient sound information and a speaker module for audio broadcasting.
[0013] Preferably, the housing is also provided with a buzzer for sound alarm.
[0014] Preferably, the casing is also equipped with a communication module for uploading violation records to the cloud platform and receiving instructions issued by the cloud platform.
[0015] Compared with the prior art, the present invention has the following beneficial effects:
[0016] 1. This utility model uses the collaborative work of a smoke collection module, a thermal imaging module, and a motion capture module to monitor multiple dimensions such as smoke, temperature, and motion. Compared with traditional smoke alarms, it improves the accuracy of monitoring smoking behavior and reduces the false alarm rate.
[0017] 2. This utility model can capture facial images of smokers through a facial recognition module and compare them with a database to accurately locate the identity of smokers. It can focus on monitoring people with a history of smoking, which facilitates post-event tracing and management and effectively curbs illegal smoking behavior.
[0018] 3. This utility model uploads violation records to the cloud platform through a communication module, automatically generates a key monitoring list, realizes intelligent management, and allows managers to view monitoring data in real time via mobile phone or computer, promptly handle violations, and improve management efficiency. Attached Figure Description
[0019] Figure 1 This is a first-view perspective three-dimensional structural diagram of the present invention;
[0020] Figure 2 This is a second-view perspective three-dimensional structural diagram of the present invention;
[0021] Figure 3 This is a schematic diagram of the module connection of this utility model.
[0022] In the picture:
[0023] 1. Mounting bracket; 2. Housing; 3. Image acquisition system; 301. Thermal imaging module; 302. Motion capture module; 303. Face recognition module; 4. Smoke collection module; 5. Main control module; 6. Communication module; 7. Audio acquisition module; 8. Buzzer; 9. Speaker module. Detailed Implementation
[0024] The embodiments of this utility model will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and should not be construed as limiting the scope of this utility model.
[0025] As attached Figure 1 To be continued Figure 3 As shown:
[0026] This utility model provides a multifunctional smoking behavior monitoring device, which consists of a mounting bracket 1, a housing 2, an image acquisition system 3, a smoke collection module 4, a main control module 5, a communication module 6, an audio acquisition module 7, a buzzer 8, and a speaker module 9, to realize comprehensive monitoring, identification, and early warning of smoking behavior.
[0027] As attached Figure 1 To be continued Figure 2 As shown: Mounting bracket 1 can be either a fixed bracket or an automatically tracking pan-tilt bracket, used to fix the device in a suitable position. The fixed bracket is suitable for scenarios where the monitoring area is fixed, and is simple to install and has a low cost; the pan-tilt bracket can realize multi-angle rotation of the device, expand the monitoring range, and is suitable for places where the monitoring angle needs to be flexibly adjusted.
[0028] As attached Figure 1 To be continued Figure 2 As shown: Housing 2 serves as the outer shell of the device, protecting the internal components. Housing 2 is equipped with an image acquisition window and a smoke detection window. The smoke detection window has a labyrinth-style dustproof air inlet, used by the image acquisition system 3 and the smoke detection module 4 to acquire external information, respectively. Simultaneously, housing 2 also integrates an audio acquisition module 7, a buzzer 8, and a speaker module 9, enabling audio input and output as well as audible alarm functions.
[0029] As attached Figure 3As shown: The image acquisition system 3 includes a thermal imaging module 301 and a visible light camera module composed of a motion capture module 302 and a face recognition module 303. The thermal imaging module 301 is used to detect ambient temperature, quickly identifying high-temperature points, such as the temperature of a cigarette butt. The motion capture module 302 is used for 3D motion depth capture, recognizing motion features such as hand movement trajectories; the face recognition module 303 is used for high-definition face recognition, capturing facial images of smokers. The thermal imaging module 301 and the visible light camera module adopt a coaxial calibration design to ensure accurate correspondence of the acquired image information and improve monitoring accuracy. The visible light camera module uses a 3D sensing camera capable of 3D motion depth capture and high-definition face recognition.
[0030] As attached Figure 3 As shown: Smoke collection module 4 is responsible for collecting smoke from the surrounding environment and monitoring the smoke concentration. When the smoke concentration exceeds a set threshold, it serves as a primary trigger signal to wake up other sensors and initiate further detection processes.
[0031] As attached Figure 3 As shown: The main control module 5 consists of a data processing unit, a logic judgment unit, and a storage unit. The data processing unit is responsible for processing data from the smoke collection module 4, the image acquisition system 3, the audio acquisition module 7, etc.; the logic judgment unit performs logical judgments based on preset rules (such as smoke concentration, high temperature point, hand movements, facial information, etc.) to determine whether smoking behavior has occurred; the storage unit is used to store equipment operation data, captured facial images, and violation records, etc.
[0032] As attached Figure 3 As shown, communication module 6 supports multiple communication methods (such as Wi-Fi, 4G / 5G, etc.) to upload violation records to the cloud platform, enabling remote data transmission and sharing. Simultaneously, it can receive instructions from the cloud platform, such as updating device parameters and retrieving the latest personnel information database.
[0033] As attached Figure 3 As shown: The audio acquisition module 7 uses a microphone to collect sound information from the surrounding environment, which can help determine whether there is smoking behavior (such as the sound of a lighter being lit, the sound of inhaling while smoking, etc.), and transmit the sound data to the main control module 5 for analysis and processing.
[0034] As attached Figure 3 As shown: When the main control module 5 determines that smoking has occurred, the buzzer 8 will emit a local sound alarm to promptly remind the personnel on site.
[0035] As attached Figure 3 As shown: Speaker module 9 can be used to play prompt voice messages, such as "No smoking, please abide by the rules," and can also receive voice information pushed by the cloud platform to realize remote voice prompt function.
[0036] Working Principle: Based on the site layout and monitoring requirements, select a suitable mounting bracket 1. For example, a fixed bracket can be selected in locations such as corridors, while a pan-tilt bracket can be selected in open areas such as lobbies, forest trails, and scenic trails. Install the housing 2 on the bracket, ensuring that the image acquisition window and smoke detection window are unobstructed. Set the threshold for the smoke acquisition module 4 (e.g., smoke concentration > 5 mg / m³ for 5 seconds as the primary trigger condition), and configure the main control module 5 and communication module 6 to connect to the cloud platform.
[0037] The smoke detection module 4 monitors the ambient smoke concentration in real time. When the smoke concentration reaches the initial trigger condition, it activates the image acquisition system 3 and other relevant sensors. The thermal imaging module 301 detects the presence of high-temperature points, the motion capture module 302 begins capturing hand movement trajectories to determine if typical smoking actions (such as raising a hand, holding a cigarette, exhaling, etc.) are present, and the face recognition module 303 captures a facial image. The main control module 5 analyzes and judges this data. If a high-temperature point is detected and the hand movement trajectory matches smoking characteristics, and the captured face is successfully compared with the database, smoking behavior is confirmed. The buzzer 8 issues a local alarm, the speaker module 9 plays a prompt voice, and the communication module 6 uploads the violation record to the cloud platform, which automatically updates the key monitoring list.
[0038] The embodiments of this utility model are given for the purpose of illustration and description. Although embodiments of this utility model have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the utility model. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this utility model.
Claims
1. A multifunctional smoking behavior monitoring device, comprising a mounting bracket (1), characterized in that: The mounting bracket (1) is provided with a housing (2) having an image acquisition window and a smoke detection window. The housing (2) is provided with an image acquisition system (3), a smoke detection module (4) and a main control module (5). The image acquisition system (3) includes a thermal imaging module (301) and a visible light camera module, wherein the thermal imaging module (301) is used to detect ambient temperature, and the visible light camera module is used for 3D motion depth capture and high-definition face recognition; The smoke collection module (4) is used to collect and monitor the smoke concentration in the surrounding environment; The main control module (5) is used to process and analyze data from the smoke collection module (4) and the image acquisition system (3), and to determine whether smoking behavior exists according to preset rules.
2. The multifunctional smoking behavior monitoring device as described in claim 1, characterized in that: The mounting bracket (1) can be a fixed bracket or a gimbal bracket.
3. The multifunctional smoking behavior monitoring device as described in claim 1, characterized in that: The thermal imaging module (301) and the visible light camera module adopt a coaxial calibration design. The visible light camera module consists of a motion capture module (302) and a face recognition module (303).
4. The multifunctional smoking behavior monitoring device as described in claim 1, characterized in that: The main control module (5) consists of a data processing unit, a logic judgment unit, and a storage unit.
5. The multifunctional smoking behavior monitoring device as described in claim 1, characterized in that: The housing (2) is also provided with an audio acquisition module (7) for collecting environmental sound information and a speaker module (9) for audio broadcasting.
6. The multifunctional smoking behavior monitoring device as described in claim 1, characterized in that: The housing (2) is also equipped with a buzzer (8) for sound alarm.
7. The multifunctional smoking behavior monitoring device as described in claim 1, characterized in that: The casing (2) is also equipped with a communication module (6) for uploading violation records to the cloud platform and receiving instructions issued by the cloud platform.