InHand Networks launches credit card-sized AI vision single board computers

The release provides a standardized, credit card-sized form factor for high-performance edge AI, reducing the hardware barrier for industrial streaming and automated visual inspection. By integrating Texas Instruments' vision processors, InHand offers a scalable path from 2 to 8 TOPS without increasing the physical footprint. This move addresses the growing demand for local, low-latency video processing in the industrial IoT ecosystem, where cloud-dependency is often a bottleneck for real-time robotics and access control. Watch for InHand’s pricing strategy in the B2B market, which will determine if these boards can compete with the dominant Raspberry Pi and Jetson ecosystems in mid-scale industrial deployments.

The launch of the Mo series aligns with broader growth in the industrial edge market, which is projected to reach $45 billion by 2030, per Grand View Research in May 2026. This expansion is increasingly driven by the shift toward decentralized infrastructure, with enterprise data processed at the edge expected to reach 75% by late 2026, according to recent semiconductor supply chain outlooks. This trend forces a move away from general-purpose CPUs toward application-specific SoCs like the Texas Instruments AM6xA family used here.

Texas Instruments originally introduced the AM62A and AM68A in 2023 to provide lower-cost alternatives for vision processing, with entry-level chips starting at $12 in volume, according to a TI press release from March 2023. By 2026, these processors have become foundational for companies like InHand to build compact, fan-optional hardware that handles multi-camera inputs at the edge. The inclusion of a 16-pin PCIe FFC connector on the Mo 68A reflects an emerging hardware standard popularized by the Raspberry Pi 5 in early 2024, now increasingly adopted by industrial vendors to allow modular expansion for storage and networking.

InHand's integration of the DeviceLive IoT platform further signals a shift in the SBC market from pure hardware sales to integrated service models. Per internal company updates from June 2026, providing remote management and edge app deployment is now a prerequisite for competing in the professional vision AI space, where fleet maintenance of smart cameras and robotics represents a significant operational hurdle for end-users.