Closed Circuit Television in Raspberry PI Using Open CV & Python
ITSI Transactions on Electrical and Electronics Engineering (ITSI-TEEE) _______________________________________________________________________________________________ Closed Circuit Television in Raspberry PI Using Open CV & Python 1Rajatha B, 2L Swarna Jyothi, 3UmaShankar Shetty C 1,2Dept of ECE, RRCE Bengaluru-74, India 3Manager-Services, Tenet Technetronics, Bengaluru, India Abstract- Designing an efficient and foolproof surveillance the type of background subtraction that will be used in system is a challenging task. The cost of sophisticated the system, the researchers considered the place where surveillance systems is very high. These factors made the system will be placed and also the processing speed researchers to think alternative for the existing system. of the RPI. According to one comparative study, the Raspberry Pi, a low cost, single board credit card sized basic background subtraction has the lowest processing computer is the heart of this work. The system is built on Open CV and the coding language used is Python. The speed requirement but it can't be implemented in a Open CV is released under BSD license. The BSD license complex background environment [3]. The researchers makes the Open CV software free for both academic and finally choose the basic background subtraction for commercial purpose. The Python is a script language. Face motion detection due to its low computational detection algorithm is used to precisely identify the human requirement. beings. The proposed surveillance system can be used in public places like Hotels, Coffee Shops, Malls, Offices etc. Moreover, in recent years, Motion Detection has attracted a great interest from computer vision Keywords- Raspberry Pi, Open CV, Python, Surveillance, researchers due to its promising applications in many BSD license areas, such as video surveillance, traffic monitoring or I.
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