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.

NAMUGA to Exhibit at the 2025 Embedded Vision Summit

South Korea – [April 1st] – NAMUGA announced today it will exhibit at the 2025 Embedded Vision Summit, the premier event for practical, deployable computer vision and AI, for product creators who want to bring visual intelligence to products. This year’s Summit will be May 20 – 22, 2025 in Santa Clara, California. This annual

Read More »

R²D²: Advancing Robot Mobility and Whole-body Control with Novel Workflows and AI Foundation Models from NVIDIA Research

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Welcome to the first edition of the NVIDIA Robotics Research and Development Digest (R2D2). This technical blog series will give developers and researchers deeper insight and access to the latest physical AI and robotics research breakthroughs across

Read More »

Presenting Real-world Vision Logistics Applications

Munich, Bavaria, Germany – March 31st, 2025 – Logistics is facing a number of challenges: processes must function in precise interlocking while speed, efficiency, and cost pressures are increasing. For this reason, SONY and FRAMOS will use real-world logistics examples to show how vision applications can be designed and integrated into existing processes while reducing

Read More »

Infrared Imaging Heats Up: Geopolitics Drives Market

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Market dynamics linked to geopolitical instability strongly boosted the SWIR, MWIR, and LWIR infrared image sensor market to more than $1 billion in 2024. OUTLINE 2030 market dynamics: the SWIR (1) segment

Read More »

OpenMV Demonstration of Its New N6 and AE3 Low Power Python Programmable AI Cameras and Other Products

Kwabena Agyeman, President and Co-founder of OpenMV, demonstrates the company’s latest edge AI and vision technologies and products at the March 2025 Edge AI and Vision Alliance Forum. Specifically, Agyeman demonstrates the company’s new N6 and AE3 low power Python programmable AI cameras, along with the FLIR BOSON thermal camera and Prophesee GENX320 event camera.

Read More »

RGo Robotics Implements Vision-based Perception Engine on Qualcomm SoCs for Robotics Market

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Mobile robotics developers equip their machines to behave autonomously in the real world by generating facility maps, localizing within them and understanding the geometry of their surroundings. Machines like autonomous mobile robots (AMR), automated guided vehicles (AGV)

Read More »

A Comprehensive Guide to Understand Camera Projection and Parameters

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Understanding camera projection and parameters is essential for mapping the 3D world into a 2D representation. This blog delves into key concepts like camera projection, intrinsic and extrinsic parameters, and distortion correction, offering a clear

Read More »

L2+ ADAS Outpaces L3 in Europe, US$4B by 2042

14 ADAS Features Deployed in EU. Privately owned Level 3 autonomous vehicles encountered significant regulatory setbacks in 2017 when Audi attempted to pioneer the market with the L3-ready A8. Regulatory uncertainty quickly stalled these ambitions, delaying the introduction of true L3 autonomy. By 2021, a clearer regulatory framework emerged under UNECE guidelines, affecting Europe and

Read More »

Removing the Barriers to Edge and Generative AI in Embedded Vision

This blog post was originally published at Macnica’s website. It is reprinted here with the permission of Macnica. The introduction of artificial intelligence (AI) has ushered in exciting new applications for surveillance cameras and other devices with embedded vision technology. Tools like generative AI (gen AI), ChatGPT and Midjourney are augmenting computer vision-based results. At

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