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Novel Techniques to Save Energy and Memory of Surveillance during Wildlife Footage


     

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With the advent of technology, embedded systems play a major role in various fields. In early stages for shooting wildlife videos and photos, the photographers used to spend more time for a single shot. The major disadvantage is that the shot taken may not be the required shot, so the work and energy used may be wasted. To overcome the above mentioned problem the surveillance system method was introduced. This proposed system will rectify the above mentioned problems with high efficiency. The NOOBS software is used for interfacing the hardware components and python is used as coding language. The working of surveillance system is as follows, when the camera is said to be turned ON, it will keep recording the whole footage without any human touch. When the obstacles are detected by PIR sensor, the PI camera is turned ON and it is identified by LED. The obstacles are captured by the camera and the captured footage is taken from the fixed location. If the obstacle goes out of range, the camera goes to sleep mode, which results in saving the power.


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  • Novel Techniques to Save Energy and Memory of Surveillance during Wildlife Footage

Abstract Views: 149  |  PDF Views: 1

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Abstract


With the advent of technology, embedded systems play a major role in various fields. In early stages for shooting wildlife videos and photos, the photographers used to spend more time for a single shot. The major disadvantage is that the shot taken may not be the required shot, so the work and energy used may be wasted. To overcome the above mentioned problem the surveillance system method was introduced. This proposed system will rectify the above mentioned problems with high efficiency. The NOOBS software is used for interfacing the hardware components and python is used as coding language. The working of surveillance system is as follows, when the camera is said to be turned ON, it will keep recording the whole footage without any human touch. When the obstacles are detected by PIR sensor, the PI camera is turned ON and it is identified by LED. The obstacles are captured by the camera and the captured footage is taken from the fixed location. If the obstacle goes out of range, the camera goes to sleep mode, which results in saving the power.