1、 System Overview
The mouse recognition and detection system is an intelligent system that relies on advanced artificial intelligence and sensor technology to accurately identify and monitor the presence of mice in various environments. Through continuous observation of the monitoring area, the system can quickly and accurately determine whether there is rodent activity, providing key technical support for hygiene and epidemic prevention, as well as item protection in the venue, effectively solving various problems caused by rodent infestation.
2、 Functional Features
Real time monitoring: By utilizing high-definition cameras, infrared sensors, and other devices distributed in the monitoring area, uninterrupted real-time monitoring can be achieved 24/7, ensuring that any traces of mice can be captured in a timely manner.
Accurate recognition: Using deep learning algorithms to analyze collected images, videos, and infrared sensing data, accurately distinguish mice from other objects with extremely low misjudgment rates. The system can further identify different types of mice based on their body shape, movement patterns, and other characteristics.
Data recording and analysis: Automatically record key data such as the time, location, and activity trajectory of mice, and generate detailed data reports and visual charts. Through data analysis, users can understand the activity patterns of mice, such as high incidence periods and frequently visited areas, providing a basis for developing targeted prevention and control strategies.
Instant alarm notification: Once mouse activity is detected, the system will immediately sound and light an alarm, and send the alarm information to relevant personnel through SMS, APP push, etc., in order to quickly take rodent control measures and prevent the spread of rodent infestations.
3、 Technical principles
Multi source data collection: High definition cameras are used to capture images and video information of the monitoring area, and infrared sensors are used to sense changes in thermal radiation of objects. When a mouse passes by, the sensor captures the temperature difference signal between its body temperature and the surrounding environment. Multiple data sources complement each other to improve the accuracy and reliability of detection.
Object detection and recognition: Based on advanced object detection algorithms such as YOLO (You Only Look Once) series, RetinaNet, etc., the collected data is analyzed to quickly locate mouse targets in images or videos. At the same time, convolutional neural networks (CNN) are used to learn and extract features of mice, and accurate recognition of mice is achieved by comparing them with pre trained models.
Data fusion and processing: The visual data collected by the camera and the thermal sensing data collected by the infrared sensor are fused and analyzed comprehensively to determine the presence of mice. By learning and analyzing a large amount of historical data, the system continuously optimizes the recognition model to improve detection accuracy and adaptability.
Remote transmission and storage: The collected data and analysis results are transmitted to cloud servers through wired or wireless networks for storage and management. Users can access the data anytime and anywhere through terminal devices such as mobile phones and computers, achieving remote monitoring and management.
4、 Application scenarios
Warehouse logistics: There are a large number of goods stored in the warehouse, and rodent bites and damage may cause damage to the goods and economic losses. This system can monitor the rat situation in the warehouse in real time, detect and handle rat problems in a timely manner, and ensure the safety of goods.
Food processing industry: Food production workshops have extremely high hygiene requirements. The presence of mice not only pollutes food, but may also spread bacteria, endangering consumer health. The system can effectively prevent mice from entering the production area and ensure food safety.
Farm: The feed and animals in the farm are susceptible to damage from mice, which may also spread diseases and affect the efficiency of farming. By installing a mouse recognition and detection system, farmers can promptly detect and eliminate mice, ensuring the hygiene of the breeding environment and the health of animals.
Family and Community: Rats can bring many troubles to residents' lives, such as damaging furniture and spreading diseases. Installing this system in residential areas, apartment buildings, and other places can help property management detect rodent infestations in a timely manner, take preventive measures, and improve residents' quality of life.
5、 System advantages
Ensuring safety and hygiene: Effectively preventing damage to objects and the spread of diseases by mice, providing strong protection for the health and property safety of personnel in the venue.
Improve management efficiency: reduce the workload and risk of manual inspections, achieve intelligent and automated management, and improve the efficiency of rodent monitoring and handling.
Cost reduction: compared with the traditional methods of artificial deratization and regular disinfection and sterilization, the system can accurately locate the rat infestation, take targeted measures, reduce unnecessary human, material and financial inputs, and reduce the cost of prevention and control.
Data driven decision-making: By analyzing mouse activity data, users can develop more scientific and effective prevention and control strategies, improve rodent control effectiveness, and achieve sustainable rodent management.