Cameras and Sensors

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.

Sony Semiconductor Demonstration of Its Open-source Edge AI Stack with the IMX500 Intelligent Sensor

JF Joly, Product Manager for the AITRIOS platform at Sony Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Joly demonstrates Sony’s fully open-source software stack that enables the creation of AI-powered cameras using the IMX500 intelligent vision sensor. In this demo, Joly illustrates how

Read More »

Sony Semiconductor Demonstration of On-sensor YOLO Inference with the Sony IMX500 and Raspberry Pi

Amir Servi, Edge AI Product Manager at Sony Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Servi demonstrates the IMX500 — the first vision sensor with integrated edge AI processing capabilities. Using the Raspberry Pi AI Camera and Ultralytics YOLOv11n models, Servi showcases real-time

Read More »

Namuga Vision Connectivity Demonstration of Compact Solid-state LiDAR for Automotive and Robotics Applications

Min Lee, Business Development Team Leader at Namuga Vision Connectivity, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates a compact solid-state LiDAR solution tailored for automotive and robotics industries. This solid-state LiDAR features high precision, fast response time, and no moving parts—ideal for

Read More »

Namuga Vision Connectivity Demonstration of an AI-powered Total Camera System for an Automotive Bus Solution

Min Lee, Business Development Team Leader at Namuga Vision Connectivity, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates his company’s AI-powered total camera system. The system is designed for integration into public transportation, especially buses, enhancing safety and automation. It includes front-view, side-view,

Read More »

Namuga Vision Connectivity Demonstration of a Real-time Eye-tracking Camera Solution with a Glasses-free 3D Display

Min Lee, Business Development Team Leader at Namuga Vision Connectivity, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates a real-time eye-tracking camera solution that accurately detects the viewer’s eye position and angle. This data enables a glasses-free 3D display experience using an advanced

Read More »

Teledyne FLIR Demonstration of an Advanced Thermal Imaging Camera Enabling Automotive Safety Improvements

Ethan Franz, Senior Software Engineer at Teledyne FLIR, demonstrates the company’s latest edge AI and vision technologies and products in Lattice Semiconductor’s booth at the 2025 Embedded Vision Summit. Specifically, Franz demonstrates a state-of-the-art thermal imaging camera for automotive safety applications, designed using Lattice FPGAs. This next-generation camera, also incorporating Teledyne FLIR’s advanced sensing technology,

Read More »

Lattice Semiconductor Demonstration of NVIDIA Holoscan-compatible Cameras from Valued Partners

Jacob Mercado, Applications Engineer at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Mercado demonstrates Holoscan camera solutions from ecosystem partner vendors Leopard Imaging and e-con Systems, designed with Lattice FPGAs for use with NVIDIA Orin AGX or IGX platforms. Holoscan is enabled

Read More »

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top