Pedestrian detection system and detection method based on human body electric waves

Abstract

The invention discloses a pedestrian detection system based on human body electric waves. The system comprises a master control module arranged on a transportation facility and an ultralow frequency sensor and an information output module electrically connected with the master control module; and the ultralow frequency sensor can receive the biological waves of the human body heart beating. The invention further discloses a pedestrian detection method based on the human body electric waves. The system disclosed by the invention has the advantages of being simple in analysis and processing method, capable of improving the timeliness, the accuracy and the reliability of the pedestrian detection.

Description

technical field [0001] The invention relates to the field of human body detection, in particular to a pedestrian detection system and detection method based on human body electric waves, which have a simple analysis and processing method and can improve the timeliness, accuracy and reliability of pedestrian detection. Background technique [0002] Traditional pedestrian detection technology is basically based on imaging analysis and processing recognition, such as capturing environmental information through machine vision (stereo vision, monocular vision), infrared imaging sensors, microwave radar, laser and other sensors, and then generating images and then analyzing them. Algorithm for pedestrian detection. The key to pedestrian detection technology is timely, accurate, and reliable; however, image analysis algorithm technology requires complex algorithm analysis and processing of huge environmental information; at the same time, sensors need to perform non-contact detecti...

AI Technical Summary

Problems solved by technology

The key to pedestrian detection technology is timely, accurate, and reliable; however, image analysis algorithm technology requires complex algorithm analysis and processing of huge environmental information; at the same time, sensors need to perform non-contact detection of the surrounding environment to accurately obtain surrounding pedestrians, etc. Obstacles and their direction, distance, speed and other information are provided to the image analysis algorithm. In this way, the image analysis algorithm needs to process a large amount of information and the processing process is complicated; in addition, machine vision (stereo vision, monocular vision), infrared Imaging sensors, microwave radar, laser and other sensors are easily affected by factors such as light, weather, obstacles, etc., making it impossible to accurately capture pedestrian information

Therefore, it is difficult for image analysis pedestrian detection technology to meet the timely, accurate and reliable requirements of pedestrian detection technology.

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