Course description

The Implementation of a Biometric Authentication System on Automobile is a cutting-edge automotive security and user-experience technology that uses unique biological or behavioral characteristics of individuals to verify and grant access to a vehicle. This system replaces or works alongside conventional mechanical keys, smart keys, and remote entry systems with more secure, user-friendly biometric methods.

What will i learn?

• **Course Learning Outcomes: Implementation of Biometric Authentication System on Automobile** ### Overall Course Outcome By the end of this course, participants will be able to **design, develop, integrate, and validate a secure, reliable, and production-ready biometric authentication system for modern automobiles**, meeting automotive industry standards for safety, cybersecurity, and user experience. ### Specific Learning Outcomes #### 1. Knowledge Outcomes (What you will understand) - Explain the principles, strengths, limitations, and suitability of various biometric modalities (fingerprint, facial, iris, voice, ECG, vein pattern, gait, etc.) in automotive environments. - Describe automotive electronic architectures and how biometric systems integrate with ECUs, CAN/LIN/Ethernet networks, immobilizers, and ADAS. - Understand key standards: **ISO/SAE 21434** (Cybersecurity), **ISO 26262** (Functional Safety), **UNECE WP.29**, and data privacy regulations (GDPR, CCPA). - Analyze real-world challenges such as environmental variations, spoofing attacks, sensor degradation, and user diversity. #### 2. Technical & Practical Skill Outcomes (What you will be able to do) - Select, interface, and calibrate appropriate biometric sensors for vehicle integration (door handles, steering wheel, dashboard, etc.). - Develop embedded software (C/C++) for biometric data acquisition, feature extraction, template matching, and liveness detection. - Implement secure biometric template storage and matching using encryption, TPM/HSM, and anti-tampering techniques. - Build multi-modal and multi-factor authentication systems with fallback mechanisms. - Integrate the biometric system with vehicle functions: door access, engine start, driver personalization (seat, mirrors, climate, infotainment), and safety features. - Use automotive tools (CANoe, Vector, oscilloscopes) to test and debug communication between biometric modules and vehicle networks. - Perform security testing: spoofing attacks, side-channel analysis, and penetration testing of biometric systems. - Apply machine learning / deep learning (TensorFlow Lite, OpenCV) for improved accuracy and adaptation in real driving conditions. #### 3. Professional & Soft Skill Outcomes - Design user-centric systems while addressing privacy, ethical, and inclusivity concerns. - Conduct risk assessments and develop mitigation strategies for biometric system failures. - Work effectively in cross-functional teams (hardware, software, cybersecurity, design). - Document and present technical designs compliant with automotive development processes (V-model, ASPICE). - Evaluate the business and societal impact of biometric authentication in future mobility (autonomous vehicles, car-sharing, fleet management). ### Measurable / Demonstrable Outcomes (Capstone Project) Upon successful completion, you will have: - A fully functional prototype of a multi-modal biometric vehicle access and start system. - Complete technical documentation (requirements, architecture, test reports, security analysis). - A professional presentation and demonstration ready for industry review or academic defense. - Portfolio piece showcasing embedded development, AI integration, and automotive cybersecurity skills. ### Career & Industry Outcomes Graduates of this course will be equipped to: - Join leading automotive OEMs (BMW, Mercedes, Tesla, Toyota, etc.) as Biometric Systems Engineers. - Work with Tier-1 suppliers (Bosch, Continental, Denso, Harman) on next-generation security solutions. - Contribute to autonomous vehicle and connected car projects. - Pursue roles in automotive cybersecurity consultancies or research institutions. - Add significant value in the growing “Software-Defined Vehicle” (SDV) and biometric mobility market. **Certification Statement** Participants who successfully complete all assessments and the capstone project will receive a formal certificate stating they have achieve

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