A Survey on Cypher Cam using IoT
Keywords:
Haar based algorithm, LBPH, Frame difference methodAbstract
Security becomes one amongst the foremost necessities in our lives now a days, however criminal activities are still at large with criminals unable to be persecuted without eligible proofs of their misdeeds. Cypher camera is one in every of the higher solutions. Surveillance camera functions can be enhanced by adding algorithms that may identify objects. Frame difference is an algorithm to spot objects motion. Background subtraction is one of the methods suitable to further improve frame differences thus increasing its effectiveness and precision, so techniques are required to spot a face which must be quick and sufficiently enough to figure in real time. But there are difficulties within the execution of face identification in low lighting condition. Local Binary Patterns Histogram algorithm is going to be used for identifying face. Face detection from a digital image or video stream is employed often for various purposes but sometimes a system detects an object or area as a face where there's no face in the slightest degree. we use Haar-based algorithm for detecting the faces.
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Copyright (c) 2024 Adarsh Hipparagi, Anand Tippanna Ambiger, Arun Lachchappa Ambiger, Basavaraj Shrishail Halyal, Shiddalingesh Hiremath
This work is licensed under a Creative Commons Attribution 4.0 International License.