Saha-Edge’s edge-AI can support real-time local authentication and access control for individual AC chargers using biometric data without requiring cloud connectivity, while maintaining compliance with ISO 15118 Plug & Charge standards.
How Saha-Edge enables local biometric authentication
Saha-Edge leverages on-device AI processing to handle biometric verification directly at the charger level. This means that fingerprint or facial recognition data can be authenticated instantly without relying on network connectivity. The system uses secure local storage for biometric templates and performs matching operations using optimized machine learning models embedded within the edge computing platform.
This local processing ensures that access decisions are made in real time, even during network outages or high-latency conditions. It also reduces the risk of data breaches since sensitive biometric information never leaves the device. The platform supports integration with various biometric sensors and can be configured to meet specific security requirements for different deployment scenarios.
Implications for charging infrastructure operators
For Charge Point Operators (CPOs), this capability significantly enhances the user experience by enabling seamless, secure access to AC chargers without dependence on internet connectivity. It also simplifies compliance with ISO 15118 Plug & Charge, which mandates secure, standardized authentication methods for electric vehicle charging.
Operators can deploy these systems in remote or low-connectivity areas where traditional cloud-based solutions may not be feasible. The local authentication approach also supports fleet management use cases, where vehicles need to be charged automatically based on predefined access rules, without requiring manual intervention or cloud-based verification.
Related Reading
For more on related topics, see: Edge-Cloud Co-Design for Smart Charging: Reducing Latency and Improving Load Balancing.
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