Method and system for detecting hand separation of steering wheel based on artificial intelligence learning
A technology of artificial intelligence and detection methods, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of single detection results, out-of-hand warning output results, inaccurate detection, etc., to improve the fault tolerance rate and work efficiency , improve the accuracy and avoid the effect of misjudgment
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[0070] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.
[0071] figure 1 It is the overall frame diagram of a steering wheel off-hand detection system based on artificial intelligence learning of the present invention. The system mainly includes a data acquisition module, including an array film pressure sensor module; a signal processing module, a data acquisition module, a driving condition acquisition module, HOD ( Hands-off detection) warning module and ADAS (advanced driver assistance system) control module.
[0072] In this example, the array thin film pressure sensor module mainly measures the pressure generated by the driver's hand on t...
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