Binocular vision intelligent detection method and system
A binocular vision, intelligent detection technology, applied in character and pattern recognition, instruments, computing models, etc., can solve the problems of difficult to achieve individual tracking monitoring and targeted automation measures, single parameters, etc., to achieve precise movement and improve production performance , the effect of effective control
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Embodiment 1
[0057] This embodiment provides a binocular vision intelligent detection method, such as figure 1 As shown, the method includes the following steps:
[0058] S100. Collecting visible light images and infrared images of the object;
[0059] S200. Identify abnormal behaviors in the visible light image according to machine learning results;
[0060] S300. Perform temperature behavior analysis on the infrared image corresponding to the visible light image of the identified abnormal behavior, and then determine whether the abnormal behavior is a problem behavior.
[0061] As a preferred embodiment, such as figure 2 As shown, before collecting the visible light image and the infrared image of the object, there are the following steps:
[0062] S10. Recognizing multiple objects according to the captured visible light image;
[0063] S20. Read the ID information of the plurality of objects, and retrieve the historical data of the plurality of objects corresponding to the pluralit...
Embodiment 2
[0081] This embodiment also provides a binocular vision intelligent detection system, such as Figure 5 As shown, the system includes:
[0082] The binocular vision module 3 collects visible light images and infrared images of objects;
[0083] Processor 1 identifies abnormal behaviors in visible light images based on machine learning results, and analyzes temperature behaviors of infrared images corresponding to visible light images of identified abnormal behaviors, and then determines whether abnormal behaviors are problematic behaviors.
[0084] The processor 1 also recognizes a plurality of objects according to the captured visible light images, reads the ID information of the plurality of objects, and retrieves the historical data of the plurality of objects corresponding to the plurality of ID information, and according to the historical data and the read The positioning data when multiple object ID information is taken realizes the correspondence of ID information of m...
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