People Counter By AI

It uses AI (Machine Learning) to detect and count objects that pass in front of the camera. You can send messages via Twitter and IFTTT. This application is set up at the entrance of the store to count the number of customers coming in and out of the store.

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・Camera AI (Machine Learning) detects and counts the objects that pass in front of the camera. The objects to be detected are as follows. (You can set from Settings->Objects to be counted)

• Background
• airplane
• bicycle
• fowl
• boat
• bottle
• bus
• car
• cat
• chair
• oxen
• dining table
• inferior
• horse
• motorcycle
• mankind
• potted plant
• sheep (Ovis canadensis)
• couch
• train
• TV monitor

・Notification You can send tweets automatically and periodically by setting up the sending conditions and message contents in advance. For example, once an hour, if the count is more than 10, you can tweet "We are busy in the store at the moment. If the count is higher than 10, a message such as "We are currently busy in the store" will be tweeted. It is integrated with IFTTT webhooks, so you can also connect with LINE and Facebook. https://ifttt.com/

Usage Send Twitter messages and webhooks to Value (countNo) You can send the count at that point by setting up the following

・History The camera records objects that have passed in front of the camera. The history is shown in graph and list.

・Settings

• Object to be counted
• How to count (continue counting Out even if the sum of In and Out is negative)
• Sensitivity of detection (the closer this value is to 0, the more frequent the detection is, but the more false positives it is; the closer it is to 1.0, the less frequent the detection is, but the less false positives it is; a value between 0.2 and 0.5 is recommended)
• Power saving mode (If no operation is performed for a certain period of time, the screen is darkened.)

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Thanks for OpenCV. OpenCV(https://opencv.org) License(https://github.com/opencv/opencv/blob/master/LICENSE)