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.

NXP Tech Days Comes to Silicon Valley

NXP Semiconductors will host “NXP Tech Days,” on August 18, 2026, from 9:00 am to 6:00 pm PDT in Santa Clara, California. The event will feature hands-on workshops, expert-led sessions, and real-world insights across embedded systems, edge AI, connectivity, and security. From the event page: The Future, Engineered During the general session, discover how NXP

Read More »

The Eyes of Physical AI: Market Opportunities for MagikEye’s ILT Technology

Feisal Afzal discusses the growing market opportunities for MagikEye’s Invertible Light™ Technology across robotics, smart appliances, automotive systems, and emerging Physical AI platforms. The conversation explores how efficient depth perception can enable safer, smarter, and more capable machines operating at the edge. With increasing demand for spatial intelligence in the physical world, ILT is positioned

Read More »

Introducing ILT Pico: Compact Depth Sensing for Physical AI

Jan Heller showcases ILT Pico, MagikEye’s compact developer platform built around its patented Invertible Light™ Technology. The system delivers precise depth perception with low power consumption and reduced compute requirements compared to conventional approaches. Designed for robotics, smart appliances, and edge AI applications, ILT Pico makes advanced machine vision more accessible to developers and innovators.

Read More »

MagikEye ILT Enables Real-Time Robot Navigation and Obstacle Avoidance

Watch a mobile robot powered by MagikEye’s Invertible Light™ Technology (ILT) navigate autonomously while detecting and avoiding obstacles in real time. This demonstration highlights how ILT delivers low-latency depth perception using a compact, power-efficient sensor architecture. The technology is designed for robotics, automation, and Physical AI applications where reliable spatial awareness is essential. Learn how

Read More »

Why High-Resolution 3D Depth Is Critical for Next-Generation Robots

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. When discussing 3D depth cameras, “high-resolution” refers to a sensor’s ability to capture a dense, detailed map of distance measurements. Specifically, it means the sensor provides more individual data points, or pixels, across its field of

Read More »

What Defines a True 200-Megapixel Experience?

This blog post was originally published at Samsung Semiconductor’s website. It is reprinted here with the permission of Samsung Semiconductor. Smartphone cameras have evolved far beyond simple tools for capturing moments. Today, users want to frame an entire landscape during travel, then zoom in to clearly see the windows of a distant building. Whether shooting in

Read More »

Optimizing Warehousing Efficiency: Arducam’s Custom Barcode Scanning Solution for Smart Forklifts

This blog post was originally published at Arducam’s website. It is reprinted here with the permission of Arducam. In the rapid evolution of smart warehousing, the forklift has transformed from a simple lifting machine into a sophisticated mobile data hub. For an Automated Identification Solutions provider, the challenge isn’t just about “taking a picture” of a barcode; it’s

Read More »

STMicroelectronics Unveils New Compact Direct Time-of-Flight 3D LiDAR Module

Key Takeaways VL53L9 is the first direct Time-of-Flight (dToF) 3D LiDAR all-in-one module in ST’s portfolio, offering a resolution of 2.3K zones, wide field of view, on-chip processing, 100 frames per second, and sensing range from 5 centimeters to 9 meters. Designed to meet the evolving needs of customers and partners across diverse industries, including robotics,

Read More »

“How to Train an AI Model Using Roboflow and Deploy to an MCU with an NPU,” a Presentation from OpenMV

Kwabena Agyeman, Joseph Nelson, President at OpenMV presents “How to Train an AI Model Using Roboflow and Deploy to an MCU with an NPU” at the May 2026 Embedded Vision Summit. Running computer vision on microcontrollers is becoming practical thanks to MCUs that integrate NPUs, enabling low-latency inference with tight… “How to Train an AI

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