Cameras and Sensors for Embedded Vision
WHILE ANALOG CAMERAS ARE STILL USED IN MANY VISION SYSTEMS, THIS SECTION FOCUSES ON DIGITAL IMAGE SENSORS
While analog cameras are still used in many vision systems, this section focuses on digital image sensors—usually either a CCD or CMOS sensor array that operates with visible light. However, this definition shouldn’t constrain the technology analysis, since many vision systems can also sense other types of energy (IR, sonar, etc.).
The camera housing has become the entire chassis for a vision system, leading to the emergence of “smart cameras” with all of the electronics integrated. By most definitions, a smart camera supports computer vision, since the camera is capable of extracting application-specific information. However, as both wired and wireless networks get faster and cheaper, there still may be reasons to transmit pixel data to a central location for storage or extra processing.
A classic example is cloud computing using the camera on a smartphone. The smartphone could be considered a “smart camera” as well, but sending data to a cloud-based computer may reduce the processing performance required on the mobile device, lowering cost, power, weight, etc. For a dedicated smart camera, some vendors have created chips that integrate all of the required features.
Cameras
Until recent times, many people would imagine a camera for computer vision as the outdoor security camera shown in this picture. There are countless vendors supplying these products, and many more supplying indoor cameras for industrial applications. Don’t forget about simple USB cameras for PCs. And don’t overlook the billion or so cameras embedded in the mobile phones of the world. These cameras’ speed and quality have risen dramatically—supporting 10+ mega-pixel sensors with sophisticated image processing hardware.
Consider, too, another important factor for cameras—the rapid adoption of 3D imaging using stereo optics, time-of-flight and structured light technologies. Trendsetting cell phones now even offer this technology, as do latest-generation game consoles. Look again at the picture of the outdoor camera and consider how much change is about to happen to computer vision markets as new camera technologies becomes pervasive.
Sensors
Charge-coupled device (CCD) sensors have some advantages over CMOS image sensors, mainly because the electronic shutter of CCDs traditionally offers better image quality with higher dynamic range and resolution. However, CMOS sensors now account for more 90% of the market, heavily influenced by camera phones and driven by the technology’s lower cost, better integration and speed.

Vision Components at CVPR: VC EvoCam with Onboard Edge AI Processor and new MIPI Cameras with up to 24.5 Megapixels
Ettlingen, May 29, 2026. Following its successful US premiere at the Embedded Vision Summit, Vision Components is set to showcase its all-in-one intelligent board-level camera VC EvoCam at the Conference on Computer Vision and Pattern Recognition (CVPR) from June 3 to 7, in Denver, Colorado. Measuring just 65 x 40 mm, this tiny smart camera

Building High-Performance Data Paths: New Evaluation Platforms for AI and Vision Systems
Bringing AI and vision designs to life starts with reliable data movement. Learn how our latest evaluation kits help engineers prototype imaging and networking paths early, reduce design risk and move from concept to working system faster. Microchip released two evaluation platforms designed to help developers prototype and benchmark data-intensive systems much earlier in

“Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices,” a Presentation from Ambarella
Pietro Antonio Cicalese, Senior Technical Marketing Engineer at Ambarella, presents “Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices” at the May 2026 Embedded Vision Summit. Coding agents are usually built as cloud-first abstractions. But for developing trustworthy, production-ready edge systems, we’ve found that coding agents should be designed from… “Edge-First Coding Agents: Trustworthy Agentic

Improving CMOS Performance at Night
How Ubicept Photon Fusion enhances conventional sensors for automotive use This blog post was originally published at Ubicept’s website. It is reprinted here with the permission of Ubicept. We’re back with another demo! Previously, we explored how Ubicept Photon Fusion (UPF) improves high-frame-rate CMOS imaging and how those improvements can translate into better downstream

NAMUGA Expands Robot Vision Portfolio to the “Head”… Advancing High-End Robotics Solutions
SEOUL, South Korea, May 14, 2026 – NAMUGA announced today that it is expanding its vision solution territory from its existing lineup—which primarily focused on lower-body obstacle detection—to the “head,” the uppermost section of robotic systems. Following the announcement in January regarding its selection as a 3D sensing camera module partner for a global automotive

Upcoming Event on AI Transformation
KOTRA Silicon Valley will host “Physical AI Superconnect 2026,” on June 24, 2026, from 10:00 am to 8:00 pm PDT at the Computer History Museum in Mountain View, California. The event will feature insightful presentations, technology exhibits, matchmaking and networking. From the event page: ​M.AX: A New Era of Manufacturing AI Transformation ​​Physical AI Superconnect

What is a Spatial Filter, and How Does it Enhance Depth Quality in ToF Cameras?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Time-of-Flight (ToF) cameras generate depth maps by measuring the phase shift between emitted near-infrared light and its reflection. Each pixel records the shift, which is then converted into distance information. But raw depth maps tend to contain

Image Quality Labs Announces Matterhorn Sony IMX462 Camera Adapter Board for Embedded Vision Development on Toradex Verdin Platforms
New adapter board simplifies integration of IQL’s Sony STARVIS IMX462 camera module with Toradex carrier boards, including the Mallow carrier board for NXP i.MX 95-based development SANTA CLARA, Calif. — [5/12/26] — Image Quality Labs, Inc. today announced the Matterhorn Sony IMX462 Camera Adapter Board, a new adapter solution designed to help developers more

Physical AI: From ST Sensors to a Robotics Platform, How Innovation Can Only Happen Through Collaboration
This blog post was originally published at STMicroelectronics’s website. It is reprinted here with the permission of STMicroelectronics. As technology aims to enable Physical AI, ST is sharing today how collaboration brought our sensors into a Holoscan Sensor Bridge module from Leopard Imaging, enabling developers to feed multi-modal sensing data to the NVIDIA Jetson Thor or

Lattice Collaborates with TI to Accelerate Edge AI for Robotics and Industrial Applications
HILLSBORO, Ore. – Apr. 20, 2026 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced that the company is collaborating with Texas Instruments (TI) to simplify sensor integration and to scale real-time edge AI systems. The combination of TI’s sensing technologies and the Lattice Holoscan Sensor Bridge solution, based on Lattice low power FPGA technology, will
