Shared bike management system and method based on community cloud monitoring system

Abstract

The invention provides a shared bike management system and method based on a community cloud monitoring system. The system comprises a video surveillance device and a radio frequency identification reader, a shared bike and an active electronic tag, a shard cloud platform and an exclusive WeChat applet. In a gated community, a video surveillance system is pre-installed. When the shared bike entersthe community, the electronic tag triggers a reader of the surveillance device. The surveillance device records the position of the shared bike and photographs an image. By zooming in on the image, color of and appearance characteristics of the bike are grabbed. By reading content of the electronic tag, a human face of a rider can be recognized and uploaded in a real-time manner. A backstage makes the track of the signal bike and a photo at each position. Through a communication network, bike information, the track of the signal bike and a photo at each position can be displayed on the exclusive WeChat applet. Facial recognition results are stored in the backstage. With the shared bike management system and method based on the community cloud monitoring system, a user can rapidly find outthe final position of the shared bike in the gated community through the exclusive WeChat applet so that utilization rate of the shard bike is increased. Meanwhile, cases such as stealing and bike damage can be quickly detected.

Description

technical field [0001] The invention belongs to the field of shared vehicle management, and in particular relates to a shared bicycle management system and method under a monitoring system in a community. Background technique [0002] Shared bicycles have now become an important choice for people to travel, bringing great convenience to people for short-distance travel while reducing carbon emissions. However, residents in closed communities often park shared bicycles in relatively hidden places, such as underground parking lots, stair passages, etc., making it difficult to locate vehicles through the app. The time to find a car will invisibly increase the cost of the supplier. At the same time, due to various reasons such as lack of supervision, a large number of shared bicycles are stolen and destroyed, and the public security department has a headache for detecting such cases. [0003] At present, bicycle providers often solve the problem of finding bicycles through GPS...

AI Technical Summary

Problems solved by technology

However, residents in closed communities often park shared bicycles in relatively hidden places, such as underground parking lots, stair passages, etc., making it difficult to locate vehicles through the app. The time to find a car will invisibly increase the cost of the supplier

At the same time, due to various reasons such as lack of supervision, a large number of shared bicycles are stolen and destroyed, and the public security department has a headache for detecting such cases

[0003] At present, bicycle providers often solve the problem of finding bicycles through GPS positioning on bicycles. They use RFID (electronic tag) technology to prevent theft and alarm bicycles on campus, such as the patent "CN201410726636, a campus bicycle management system based on RFID technology. ", but this method is aimed at vehicle prevention, does not provide the rider's personal information and pictures, and does not work for case tracking

There are also bicycle management based on the Internet of Things platform, such as the patent "CN201310008482, a campus bicycle management system and method based on the Internet of Things", which uses RFID electronic tags to register the borrowing and returning of vehicles, reducing the time and cost of manual management. cost, but this method has no substantial impact on the precise positioning and search efficiency of the vehicle, and manufacturers provide the final location of the bicycle by artificially taking pictures, which alleviates the problem of finding a vehicle to a certain extent, but the former is often too dependent on The quality of the communication network signal and the positioning accuracy are not ideal

However, a large number of bicycle theft and damage cases have not been effectively resolved

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