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MitySOM-AM62A Edge AI Camera: Best in Show 2026

 

Critical Link’s Edge AI Camera with MitySOM-AM62A Wins Best in Show at Embedded World North America 2026

Embedded World 2026 Best in Show badge, awarded by Embedded Computing Design

Embedded Computing Design honors TI Sitara™ AM62A-based vision platform in the Computer Boards, Systems, Components & Peripherals category

 

SYRACUSE, N.Y. — October 22, 2026 — Critical Link, LLC, a maker of production-ready System on Modules (SOMs) and embedded solutions, announced that its Edge AI Camera with MitySOM-AM62A won a Best in Show award at Embedded World North America 2026. Embedded Computing Design gave the award in the Computer Boards, Systems, Components & Peripherals category. The show took place September 22–24 at the Anaheim Convention Center in Anaheim, California.

Embedded Computing Design’s content team judges Best in Show entries on a 15-point rubric covering design excellence, relative performance and market impact or disruption.

MitySOM-AM62A Edge AI Camera defect detection demo, showcased at Embedded World NA 2026

The Edge AI Camera gives engineers a flexible, scalable and cost-effective way to deploy vision-based AI at the edge. It’s built on Critical Link’s production-ready MitySOM-AM62A module and an application-ready carrier board. At the module’s core is the Texas Instruments (TI) Sitara™ AM62Ax processor. It combines quad-core Arm® Cortex®-A53 processors, a Cortex-R5F real-time co-processor, and a C7™ neural processing unit which includes a floating-point DSP of up to 40 GFLOPS and a Matrix Multiply Accelerator (MMA) of up to 2 TOPS.

“Engineers building vision AI into their products have been stuck with a hard tradeoff,” said Amber Thousand, Director of Marketing at Critical Link. “They could choose off-the-shelf imagers that need redesigning every few years, or high-performance compute platforms that break the budget. We built the Edge AI Camera to remove that tradeoff. It pairs the efficient AI performance of TI’s AM62A processor with a SOM designed for long-term production and backed by Critical Link’s engineering support. Customers can get to market first and know the platform will last as long as their design does. We’re proud that Embedded Computing Design recognized it.”

Production-Ready Vision AI, from Prototype to Deployment

Many edge AI platforms are built for evaluation, not volume production. The Edge AI Camera is designed so the hardware a team prototypes on can go straight into production. Developers can start with readily available AI models for object detection, facial recognition and segmentation. They can then use TI’s CCStudio™ Edge AI Studio to train and deploy models for their own parts, materials and environments.

Key features include:

  • AI acceleration: The TI AM62A7 C7™ neural processing unit which consists of aDSP with MMA-accelerated deep learning and inference engine delivers up to 2 TOPS.
  • Full image signal processing: A complete ISP and tuning stack provides debayering with edge enhancement, HDR color mapping and scaling, warp transforms such as rotation and lens distortion correction, resizing and white balance.
  • Flexible camera interface: Supports up to four lanes of MIPI CSI and a 22-pin Raspberry Pi Zero camera interface. It ships with an IMX219-based Raspberry Pi camera.
  • Video output and streaming: Outputs 1080p HD over micro-HDMI and streams H.264 over the network (RTSP) through Gigabit Ethernet.
  • Simple power: Runs on Power over Ethernet (PoE) or USB-C power, so a single cable can handle installation.

Proven in Live Demos

Ken Briodagh, Editor-In-Chief, Embedded Computing Design presents Tom Catalino, Amber Thousand and Alex Gieson of Critical Link the embedded world North America 2026 Best in Show award for the Edge AI Camera with MitySOM-AM62A.

At embedded world North America, attendees at Critical Link’s booth watched the Edge AI Camera run live defect detection. It uses the YOLOX-nano-lite defect-detection model on the AM62A’s C7™ accelerator, which runs about 65 times faster than on the Arm Cortex-A53 cores. The demo shows live video with visual indicators and production analytics such as total parts and defect rate. These are the capabilities that matter for factory automation, production yield and quality assurance.

A second demo uses the YOLOX-S-Lite model for real-time people tracking. It reports total visitors, current occupancy and visit duration, plus a heatmap of frequently visited areas. It’s aimed at retail, building automation, and safety and security.

“AI is changing how industrial and commercial systems see and respond to the world. Our customers need solutions that balance performance, power and cost,” said Sonia Ghelani, Sitara Product Line Manager at Texas Instruments. “The AM62A SoC was designed from the ground up for deep learning and advanced image processing at the edge. Critical Link’s Edge AI Camera shows how quickly developers can go from concept to a production-ready product on TI’s edge AI platform. Congratulations to Critical Link on this well-deserved recognition.”

Availability

Demo units of the Edge AI Camera with MitySOM-AM62A are available now. For a demonstration, pricing or a quote, contact Critical Link at info@criticallink.com or reach out to your local Critical Link manufacturers’ representative. Product details and the datasheet are at criticallink.com/product/edge-ai-camera-with-mitysom-am62a.

Read the full list of embedded world North America 2026 Best in Show winners on Embedded Computing Design.

 

About Critical Link
Critical Link designs and manufactures CPU-, FPGA-, and DSP-based system-on-modules (SOMs) for industrial electronic applications. Its production-ready embedded solutions help customers bring products to market faster and at lower cost by reducing development complexity, risk, and time spent building core processing subsystems from scratch. With a focus on product quality, long-term availability, lifecycle support, and close customer engagement, Critical Link serves OEMs across a wide range of industrial and technically demanding applications. For more information, visit the website: criticallink.com

Physical AI for Edge Applications: Best in Show 2026

 

Critical Link’s Holoscan Sensor Bridge with MitySOM-A5E Wins Best in Show at Embedded World North America 2026

Embedded World 2026 Best in Show badge, awarded by Embedded Computing Design

Embedded Computing Design honors Altera Agilex 5 FPGA-based sensor fusion platform in the AI & Machine Learning category

 

SYRACUSE, N.Y. — October 14, 2026 — Critical Link, LLC, a maker of production-ready System on Modules (SOMs) and embedded solutions, today announced that its Holoscan Sensor Bridge with MitySOM-A5E won a Best in Show award at Embedded World North America Sept. 2026. Embedded Computing Design awarded the achievement in the AI & Machine Learning category. The platform connects to NVIDIA GPUs to enable an FPGA + GPU solution for physical AI and edge applications such as robotics, industrial vision, and medical imaging, combining deterministic sensor processing with AI compute.

Embedded Computing Design’s content team judges Best in Show entries on a 15-point rubric covering design excellence, relative performance, and market impact or disruption.

Critical Link developed the Holoscan Sensor Bridge (HSB) with MitySOM-A5E in collaboration with Altera. It is a low-latency, FPGA-based interface that combines and prepares data from many sensor types before delivering it to NVIDIA GPUs for AI processing. At its core is Critical Link’s production-ready MitySOM-A5E. The SOM is built on the Altera® Agilex® 5 SoC FPGA E-Series.

The Holoscan Sensor Bridge with MitySOM-A5E brings multi-camera input into an NVIDIA GPU platform for real-time AI inference.

“Edge AI systems are only as good as the sensor data they can bring in. Getting many high-bandwidth sensors into a GPU with low latency and tight synchronization has been one of the hardest problems in robotics, medical, and safety-critical design,” said Tom Catalino, Vice President and Founder of Critical Link. “The Holoscan Sensor Bridge with MitySOM-A5E gives developers an off-the-shelf answer. Altera’s Agilex 5 FPGA handles sensor aggregation and pre-processing, while NVIDIA GPUs provide the AI compute. Because it’s built on our long-lifespan, production-ready SOMs, customers can take the same platform from prototype to deployment. We’re grateful to Embedded Computing Design for this recognition and to Altera for its partnership.”

Sensor fusion beyond the camera

The HSB with MitySOM-A5E goes beyond imaging. Designers can bring LiDAR, radar, acoustic, and other high-bandwidth inputs into the same real-time AI pipeline. The FPGA aggregates and synchronizes the sensor data in hardware, then sends it over dual 10 or 25 Gb Ethernet directly to a compatible NVIDIA GPU.

The Altera and Critical Link live AI processing demo at Embedded World North America 2026. An Agilex 5 FPGA pre-processes multi-camera sensor data, and an NVIDIA GPU runs the AI inference.

Key features include:

  • Agilex 5 FPGA sensor aggregation: Combines multiple sensor inputs in programmable logic for deterministic, low-latency processing.
  • Eight MIPI CSI-2 camera interfaces: Supports eight 4-lane CSI-2 inputs for multi-camera systems.
  • High-speed transport: Dual SFP28 ports support 10 Gb or 25 Gb Ethernet, at up to 28 Gb/s per port.
  • FMC expansion: An FMC port (LPC plus eight transceivers) adds more sensor inputs.
  • Precision timing: Hardware-based synchronization keeps multi-sensor data aligned.
  • Production-ready foundation: Built on Critical Link’s long-lifespan MitySOM-A5E, with US-based support and obsolescence management.

The platform targets robotics and humanoids, multi-camera AGVs, robotic surgery equipment, diagnostic imaging, industrial automation and visual inspection. Other target uses include biometrics, safety-critical analysis and scientific instrumentation.

Altera FPGAs: The Fabric for Physical AI

Physical AI starts at the point where real-world sensor data enters the AI pipeline. Sensors bring different interfaces, data formats, and real-time requirements for deterministic, low-latency operation, creating challenges that AI compute alone does not address. Altera FPGAs provide a flexible hardware fabric between sensors and AI compute, enabling sensor connectivity, aggregation, data pre-processing, and efficient delivery of sensor data to GPUs. This is the role of a GPU companion: complementing GPU compute while giving developers flexibility as sensor configurations and system requirements evolve.

“Physical AI requires a flexible fabric between the physical world and AI,” said Farhad Shafai, Head of Business Solutions and Marketing at Altera. “Critical Link’s Holoscan Sensor Bridge with MitySOM-A5E demonstrates the value of Altera’s Agilex 5 FPGAs as the fabric connecting sensors, aggregating sensor data, pre-processing it, and seamlessly delivering it to NVIDIA GPUs. We congratulate Critical Link on this award and are proud of our collaboration to help bring physical AI from concept to deployment.”

The Holoscan Sensor Bridge with MitySOM-A5E development platform next to its Best in Show award.

Availability

The Holoscan Sensor Bridge with MitySOM-A5E is available now. The platform uses the MitySOM-A5E Standard Development Kit hardware with custom programming. For a demonstration, pricing, or a quote, contact Critical Link at info@criticallink.com or your local Altera sales representative. Product details and the product brief are at criticallink.com/product/holoscan-sensor-bridge-with-mitysom-a5e.

Read the full list of Embedded World North America 2026 Best in Show winners on Embedded Computing Design.

About Critical Link
Critical Link designs and manufactures CPU-, FPGA-, and DSP-based system-on-modules (SOMs) for industrial electronic applications. Its production-ready embedded solutions help customers bring products to market faster and at lower cost by reducing development complexity, risk, and time spent building core processing subsystems from scratch. With a focus on product quality, long-term availability, lifecycle support, and close customer engagement, Critical Link serves OEMs across a wide range of industrial and technically demanding applications. For more information, visit the website: criticallink.com

 

Altera and Agilex are trademarks of Altera Corporation or its subsidiaries. NVIDIA and Holoscan are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Arm and Cortex are registered trademarks of Arm Limited. All other trademarks are the property of their respective owners.

Join Critical Link at Altera Innovators Day

Altera Innovators Day is October 28, 2026 in San Jose

Join Critical Link at Altera Innovators Day, October 28 in San Jose!

Altera is bringing together developers, system architects and engineers to explore what’s next in AI-powered FPGA development and intelligent edge technologies. Attend sessions exploring agentic AI software flows, including how AI can accelerate engineering workflows from knowledge and design to closure. Discover how Physical AI is advancing through NVIDIA Holoscan Sensor Bridge solutions across Altera Agilex FPGA families.

Critical Link will be there showcasing our new Holoscan Sensor Bridge platform based on our Agilex 5 system on module. Learn how this Multi-Camera FPGA + GPU platform is accelerating Physical AI applications.

Take advantage of this opportunity to connect with industry experts, explore emerging technologies and discover new possibilities with programmable logic.

Request your registration: https://go.altera.com/innovators-day-san-jose-registration 

 

 

 

 

 

Can’t make Innovator Day? We’re always available to talk with you or your team. Contact us at info@criticallink.com.

Embedded World NA, September 22-24, 2026 – Visit booth #5506

Visit Critical Link at Embedded World North America, booth #5506!

Critical Link will showcase three System on Module families at Embedded World NA: the MitySOM-A5E with Altera Agilex 5 FPGA, the MitySOM-QC6490 featuring the Qualcomm DragonWing QCS6490 processor, and the MitySOM-AM62x/A/P based on the Texas Instruments Sitara AM62x/A/P processors. Together these SOMs represent a complete range of features and performance, complemented by the support, scalability, and long product lifecycles customers have come to expect from Critical Link.

The MitySOM-A5E family includes production-ready SOMs in several form factors and configurations. These SOMs offer up to 656KLE FPGA fabric, dual core ARM Cortex-A55 and Cortex-A76, 24 transceivers, dual banks of RAM, and a wide range of user-friendly interfaces. This is a CRA-ready SOM, with industry-leading security features including secure boot, tamper proofing, device/identity keys, and more. The SOMs also feature AI-optimized DSP tensor blocks with up to 26 TOPS performance. Critical Link will feature this SOM in a Holoscan Sensor Bridge demo, processing 5 camera feeds with ultra-low-latency for edge AI applications in robotics, medical and more.

Next is the MitySOM-QC6490 based on Qualcomm® Dragonwing™ QCS6490 processor. These system on modules deliver a combination of multi-core CPU, GPU, and VPU processors, a host of memory options, on board power supply, and a range of high-speed interfaces all in a 45mm x 45mm package. Developers gain access to the Qualcomm AI Hub, a toolkit offering examples for speech recognition, image classification, text generation, and many other common AI applications. Critical Link’s booth at EWNA will feature a series of demos running open source AI models on the MitySOM-QC6490.

Last is Critical Link’s MitySOM-AM62x/A/P family based on Texas Instruments Sitara AM62xx, AM62Ax, and AM62Px processors. Each SOM packs a powerful combination of quad core ARM Cortex A53s, Cortex M4F or R5F co-processors, hardware accelerators, a host of memory options, on board power supply, and a range of interfaces. Combined with Texas Instruments Edge AI Studio, which gives access to readily available AI models, developers now have a head start in hardware and AI application development.

The MitySOM-AM62A will be featured in a defect detection demonstration at the Critical Link booth. The demo uses artificial intelligence at the edge with our Texas Instruments AM62Ax-based SOM. The yolox-nano-lite-defect-detection model runs on the AM62A C7x-MMA accelerator, delivering 65x faster performance vs running on the ARM A53 quad cores.

Critical Link’s proven track record for bringing industrial-class FPGA, DSP, and CPU modules to market means customers can count on long term availability, quality, and design maintenance. Our engineering and production teams are based in the US, and we provide a level of support that is unmatched in the industry. Learn more about what sets Critical Link apart: https://www.criticallink.com/the-critical-difference/.

Visit booth #5506 at Embedded World North America to learn about our high performance system on modules and each of these demos!

Can’t make the show? We’re always available to talk with you or your team. Contact us at info@criticallink.com.

 

Join Critical Link at an Upcoming Arrow University

Join Critical Link and the local Arrow Electronics teams at their annual Arrow University events this fall! Check out the locations and dates below, and use the links to register for the event closest to you. Sign up for Critical Link’s seminar on Implementing AI at the Edge, Embedded Linux Security, & AMP, and stop by the expo to see demos of our latest Texas Instruments, Qualcomm, and Altera-based modules.

Register for these free events today:

Dayton, September 16

Cleveland, October 7

Pittsburgh, October 8

Wisconsin, October 13

St Louis, October 15

Chicago, October 22

 

Can’t make the events? We’re always available to talk with you or your team. Contact us at info@criticallink.com.

 

New Demo: Real Time Defect Detection at the Edge

Want to leverage AI for automated inspection in your manufacturing processes?

Our popular defect detection demonstration uses artificial intelligence at the edge with our Texas Instruments AM62Ax-based SOM. The demo utilizes the yolox-nano-lite-defect-detection model running on the AM62A C7x-MMA accelerator, delivering 65x faster performance vs running on the ARM A53 quad cores. A live video is displayed on the screen with visual indicators and statistics showing total parts, defect rate, and other analytics. Utilizing Edge AI Studio simplifies model training and deployment for new types of parts and materials.

Featured Hardware: MitySOM-AM62A System on Module powers Critical Link’s Edge AI Camera

Example Applications: Factory Automation, Production Yield/Quality Assurance

Contact info@criticallink.com for more information

 

 

Top view of Critical Link's MitySOM-AM62A production suitable system on module based on Texas Instruments Sitara AM62Ax processor

Check out the MitySOM-AM62A System on Module specifications or browse available Development Kits

See more MitySOM Demos: www.criticallink.com/demos

 

New Demo: High-Res, Multi-Camera Vision at the Edge

Working on high-resolution, multi-camera vision at the edge?

This Agilex 5-based demo uses the Altera FPGA AI Suite to deploy a YOLOv8 model with pose estimation on our MitySOM Agilex 5 module. The reference design shows an 8K@60 pipeline with support for up to 8 MIPI cameras on the standard dev kit, and up to 24 cameras on custom carrier designs. The FPGA fabric handles sensor aggregation, image signal processing, and model acceleration, while the hard processor system manages control and networking. It’s a strong starting point if you’re architecting systems for industrial inspection, smart agriculture, or medical imaging and need deterministic latency and tight integration between vision I/O and AI workloads.

Featured Hardware: Each of Critical Link’s Agilex-based solutions can run this demo: MitySOM-A5E Standard, MitySOM-A5E Mini, and MitySBC-A5E. Contact info@criticallink.com for more information

 

 

Top side view of the MitySOM-A5E (Standard), a production-ready system on module based on the Altera Agilex 5 FPGA

 

Check out the MitySOM-A5E System on Module specifications or browse available Development Kits

See more MitySOM Demos: www.criticallink.com/demos

 

New Demos: AI Inferencing and Multi-Camera Vision

AI Inferencing and Multi-Camera Vision with Qualcomm SOMs

Interested in measuring depth without stereo hardware? Or real-time object detection on mobile and edge devices? Critical Link has developed a series of demos running open source AI models on the MitySOM-QC6490. The SOM is built around the Qualcomm QCS6490, targeting the 6th Gen Qualcomm AI Engine and Hexagon DSP for acceleration. Pipeline includes camera capture, model inference, and overlay rendering at the edge, giving you a concrete baseline for throughput, latency, and resource utilization on this class of SoC. From an engineering perspective, it’s a working reference for image capture, pre-processing, model execution, and secure storage in a single embedded platform. It’s a practical starting point if you want to swap in your own models, adjust input resolution, or integrate application logic for use cases like quality inspection, security/access control, smart kiosks, retail analytics & personalization, smart agriculture, or on-device analytics in medical and smart city devices.

Our AI-driven single-camera depth perception demo is shown below. This demo uses Qualcomm’s MiDaS V2 implementation on the QCS6490, generating real-time relative depth maps and visualizing distance as a heat map. It’s designed for robotics, surveillance, and safety/security use cases where size, cost, or mechanical constraints limit sensor options.

See other demos and explore integration options: www.criticallink.com/demos

 

 

Top view of Critical Link's MitySOM-QC6490 / MitySOM-QC5430 System on Module based on the Qualcomm Dragonwing QCS6490 and QCS5430 processor

 

 

Check out the MitySOM-QC6490 System on Module specifications or browse available Development Kits

See more MitySOM Demos: www.criticallink.com/demos

 

Demo: Gain Real-Time Insight for Retail Analytics

Get real-time insight into how people move through your space

Exploring real-time people analytics at the edge? In this demo, we run a YOLOX-S-Lite–based people tracking pipeline on our MitySOM-AM62A edge AI camera platform. The SOM executes detection and tracking on-device, enabling per-frame person counts, occupancy metrics, dwell time, and heatmap generation without a backhaul GPU. Engineers get an ARM-based SOM with integrated accelerators, camera input, and a software stack that can be adapted for custom models or pre/post-processing. Ideal if you’re evaluating embedded vision for retail analytics, building automation, or safety systems and want to stay within tight power and thermal budgets.

 

 

 

Check out the MitySOM-AM62A System on Module

See more MitySOM Demos: www.criticallink.com/demos

 

Critical Link Launches World’s First AI-Driven SOM Recommendation Engine, Powered by Rapidflare

Critical Link LLC, a leader in system-on-module solutions, has introduced the world’s first AI-driven System on Module Recommendation Engine, powered by Rapidflare’s Rapid Product Selection Agent. The new engine advances Critical Link’s mission to help customers bring embedded products to market faster and more cost-effectively.

In the electronics industry, selecting the right product often requires manually comparing hundreds of pages of datasheets or relying on rigid parametric search tools. Critical Link’s SOM Recommendation Engine is set to change that. With Rapidflare’s conversational AI agent, customers can describe their requirements in natural language and receive tailored recommendations in a fraction of the time.

“For years customers have asked for a better way to find the right SOM for their application. Launching this AI-driven engine with Rapidflare’s technology is a game changer,” said Amber Thousand, Sr. Director of Marketing at Critical Link. “Their accuracy, domain expertise, and speed of integration made them the clear choice to support our mission.”

Unlike generic AI agents, Rapidflare’s technology is purpose-built for complex product selection workflows. It combines knowledge graph-based reasoning, domain-specific intelligence, and industry guardrails to deliver recommendations that are both fast and reliable for electronics teams.

“The best partnerships happen when your mission aligns with your partner’s mission,” said Navanee Sundaramoorthy, CEO and Founder at Rapidflare. “We’re proud to partner with Critical Link to help make SOM product selection more seamless, intuitive, and efficient for their team and customers.”

Beyond accelerating product selection, the AI engine gives engineers a new way to engage with Critical Link. “We’ve always offered thorough documentation and product support to customers via our website, our engineering wiki, and personal contact. Adding the SOM Recommendation Engine creates a more efficient path for self-discovery, which we see as a growing trend,” said Thousand. “Together, Rapidflare and Critical Link are combining their strengths to make the journey from concept to product faster, smarter, and more closely aligned with customer needs.”

To explore Critical Link’s SOM Recommendation Engine, visit https://www.criticallink.com/som-recommendation-ai-agent/. To learn more about Rapidflare and its AI-powered product selection solutions, visit Rapidflare’s website: https://www.rapidflare.ai/

About Critical Link
Critical Link designs and manufactures CPU-, FPGA-, and DSP-based system-on-modules (SOMs) for industrial electronic applications. Its production-ready embedded solutions help customers bring products to market faster and at lower cost by reducing development complexity, risk, and time spent building core processing subsystems from scratch. With a focus on product quality, long-term availability, lifecycle support, and close customer engagement, Critical Link serves OEMs across a wide range of industrial and technically demanding applications. For more information, visit the website: criticallink.com

About Rapidflare
Rapidflare builds AI-powered domain specific agents for electronics, semiconductors, and other technically complex industries. Its product intelligence powered AI platform gives teams natural-language access to product and engineering knowledge, making it easier to find accurate answers, support customers, and move faster across critical workflows. Rapidflare multiplies the impact of GTM teams by making critical technical knowledge instantly accessible, helping sales, solutions engineering, product marketing, support, and customer success teams move faster and operate with confidence. For more information, visit rapidflare.ai