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Camera ApplicationsMobility

From ADAS to Robotaxi: How Vision Systems Must Level Up to Meet New Mobility Use Cases (Part 2)

Suresh Madhu
by Suresh Madhu
Robotaxis operate in dense urban settings where lighting changes rapidly, motion stays constant, and perception runs continuously. Camera performance governs how lanes, signals, vehicles, cyclists, and pedestrians are readable. Hence, features such as HDR, low-light capture, global shutter, and more determine how reliably scenes get interpreted. In this blog, you’ll...
Camera ApplicationsEdge AI Vision KitsMobility

From ADAS to Robotaxi: How Vision Systems Must Level Up to Meet New Mobility Use Cases (Part 1)

Suresh Madhu
by Suresh Madhu
ADAS-era vision systems handled short, supervised driving tasks with limited scene scope and intermittent operation. Robotaxi deployments replace that model with continuous, fleet-scale autonomy in dense urban settings, where cameras face constant motion and lighting swings. These conditions raise pressure on imaging consistency, synchronization, and data continuity. In this blog,...
Edge AI Vision KitsOur Product Insights

What is Secure Boot and How Does it Safeguard Edge AI Vision Deployments?

Prabu Kumar
by Prabu Kumar
Edge AI vision systems execute inference and data processing directly on embedded devices deployed outside controlled environments. Any compromise during startup can expose firmware, models, or connected sensors before applications even load. Secure Boot addresses this risk by enforcing a hardware-rooted chain of trust that validates every stage of the...