Emotion recognition of the driver based on KLT algorithm and ShuffleNet V2

Enhancing Home Security with AI-Driven Drone Surveillance

“…al. (2024) [10] introduced a Driver Emotion Recognition (DER) system utilizing the KLT algorithm and Shuffle Net V2 to accurately identify and classify driver emotions. The authors collected facial images from various datasets and applied pre-processing techniques to enhance image quality and remove noise.…”

“…Autonomous Navigation and Coordination: As drone technology advances, it may become possible for several drones to navigate and coordinate autonomously, greatly expanding the scope of surveillance and improving response times. [10] Drones can work together seamlessly by using swarm intelligence techniques and powerful flight control algorithms to patrol designated regions and respond synchronized to security alarms. Drone-based surveillance systems can be deployed more effectively and scalable when they include autonomous navigation skills, as they lessen the need for human operators.…”

“…Their ability to get admission to dangerous or hard-to-reach regions makes them priceless tools in such important conditions.Project Sky Watch shows how drone surveillance combined with AI-powered home security systems may improve home security and safety. [10] The project provides an early look at what smart home security solutions may look like in the future by fusing state-of-the-art technologies with proactive monitoring and response capabilities. Project Sky Watch seeks to improve its capabilities and advance the field of AI-based home security through continued research and development.…”

“…Smoke and flames billow ominously underneath, highlighting the ability role of drones in catastrophe relief or firefighting operations. Their ability to get admission to dangerous or hard-to-reach regions makes them priceless tools in such important conditions.Project Sky Watch shows how drone surveillance combined with AI-powered home security systems may improve home security and safety [10]. The project provides an early look at what smart home security solutions may look like in the future by fusing state-of-the-art technologies with proactive monitoring and response capabilities.…”