The main objective of this project is to detect people in a frame using OpenCV
People observation and counting is of interest in many commercial and non-commercial scenarios. The focus of the work is to count no. of people in a particular frame. The work has many applications such as detecting how many persons are present in an ATM at any given instant of time, detecting overcrowded areas such as movie theatres, Bus Stations or in that case any public place where crowd control is required to mitigate pandemics such as COVID-19. The work can also be utilized by using modular computing device such as raspberry pi to protect highly sensitive areas such as Army, Naval base, Bank lockers etc.
The people counting using raspberry pi with OpenCV will detect no. of persons present in a given frame of a pre-recorded video or live stream video. The system will be implemented by making use pre-trained Deep Neural Network models for person detection such as person-detection-retail-0013 using OpenCVKeywords: People detection, Camera, Raspberry Pi
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