embedded award 2026: Embedded vision nominees

A compact CAN FD interface card, an on site intelligent operations tool, and an integrated ST platform combining vision, decision, and motion

Its innovative design integrates four independent CAN FD / CAN 2.0 channels with 2.5 kV galvanic isolation per port, enabling clean signal separation for lighting control, motion feedback, and trigger distribution. A 3 in 1 breakaway format (2242/2260/2280) and switch controlled split termination allow mechanical flexibility and quick field level bus tuning without hardware rework.

Compared to fixed length, single channel solutions, the MEC CAN 2F14i offers unmatched versatility: one SKU fits multiple platforms, four independent buses simplify fault isolation, and industrial grade reliability ( 40°C to +85°C, 15 kV ESD) ensures stable operation even in harsh factory or outdoor environments.

With reduced material use, fewer external converters, and a long lived, platform flexible design, the card also supports sustainable system architectures. The result is a compact, robust, and future ready solution for high precision embedded vision and robotic control.

At its core is an instant-learning on-device AI developed by Memorence AI for real-time operational environments. Operagents integrates embedded vision, multimodal sensing, and adaptive learning within a compact embedded platform. The platform also incorporates vision-language models (VLM) and natural voice interaction, enabling contextual understanding and explainable guidance directly on site. It delivers step-by-step guidance, immediate validation, and contextual explanations—fully offline, low-latency, and compliant with strict data-privacy requirements.
Compared to traditional AI solutions that stop at detection or analytics, Operagents closes the loop between perception and action within operational workflows. Operator corrections are applied immediately, enabling rapid adaptation alongside conventional retraining processes.
The system can be deployed in real production environments without requiring dedicated fixtures or controlled lighting enclosures. Memorence Operagents increases quality and consistency by preventing errors early in the workflow and supporting reliable execution. The result is a practical and scalable human–AI collaboration framework for reliable industrial operations.

The entire platform runs on ST hardware: An STM32N6 processes MediaPipe based hand landmarks at 30 fps directly on the edge, while the STM32MP257 functions as a soft PLC for real time kinematics and trajectory planning. A complete 6 DoF actuator is integrated on a single 6 × 6 cm PCB, setting a new benchmark for compact end effector design in robotics.

Its core USP is the seamless Vision → Decision → Motion integration: NPU accelerated perception, heterogeneous real time control, and highly condensed motion hardware operate in tightly coordinated firmware. This delivers deterministic, industrial grade behavior without the friction of multi vendor systems. Proprietary gesture mapping firmware, PCB integration methods, and protected IP reinforce the platform’s technological lead.

Such compactness in the actuation is made possible thanks to the newest technology of the STSPIN900 Series for motion control that allow precise and powerful movement to be positioned in very cramped space.

With reduced material usage, energy efficient STSPIN drivers, and long lifecycle ST components, the system also provides strong sustainability benefits. Vision, Decision, Motion forms a scalable foundation for next generation humanoid robots—combining high performance, minimal footprint, and maximum design efficiency.