Cloud-Based Biometric Security System for Smart Vehicles

The rising rate of vehicle theft in our country is a pressing concern, prompting the need for effective solutions. Existing theft deterrents often lack precision, necessitating a reliable identification system. Biometric technology, with its authentication via unique physical traits like fingerprints and iris patterns, emerges as a promising solution. Additionally, current environmental conditions, marked by pollution and smog, pose risks to safe driving, increasing accident and theft risks due to reduced visibility. Our project integrates infrared sensor technology to enhance visibility and obstacle detection in adverse conditions. Research on algorithms is encouraging: the Haar Cascade Classifier boasts a detection rate exceeding $\mathbf{9 5 \%}$, and Deep Face Recognition achieves an impressive $\mathbf{9 8. 7 6 \%}$ accuracy. Furthermore, Infrared (IR) sensors emerge as costefficient and responsive solutions, unaffected by environmental factors. These findings underscore face recognition biometric authentication as the recommended vehicle security approach, with potential scalability through cloud-based systems promising enhanced security measures.