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Social Perspective of Suspicious Activity Detection in Facial Analysis: An ML-Based Approach for Digital Transformation
Abstract
Technology is demanded on to curb crimes, especially image recognition, which can be used to detect suspicious activities. Image, object, and face recognition along with speech identification can be used as great tools to achieve this target. The machine lerning algorithm gave immense capabilities to detect faces, objects, and speech to identify malicious activities, and with several epochs, the accuracy can be enhanced. The chapter applies the various ML algorithms on real-time video data to increase the accuracy and gets satisfactory results in this social cause of utmost importance.
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