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Facial Detection System Development using OpenCV
• Developed a facial detection system with email alerts to enhance home security for busy professionals.
• Implemented and compared 2 facial recognition methods: Haar cascade and Convolutional Neural Network (CNN)
• Achieved 92% accuracy with Haar cascade, while CNN boasted 93% accuracy albeit with longer processing time
• Proposed future improvements including designing a portable hardware model for broader applications like home
automation and complex security systems
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