“Now that vision is starting to appear in volume applications, processor vendors are beginning to focus on embedded vision applications, and to tune their processors for these applications - often by incorporating specialized coprocessors specifically designed for vision processing.” (Jeff Bier, BDTI)

Video Surveillance

There is an increasing demand for relevant real time alerts, integrated analytics, and off-site storage. The market for video surveillance devices with chargeable Video Content Analysis (VCA) capabilities is forecast to grow particularly quickly in such end-user industries as retail, energy & utilities, and transportation.

Mobile Devices

There are one billion smartphones with built-in cameras worldwide, and the number of camera-related apps represents 8% of a $6bn+ market (2010 figures). Embedded vision technology enables consumer electronics products to be much more intelligent and responsive, and will be an important competitive differentiator.

User Gesture Control

Various emerging markets such as gaming (Kinect), appliance control (Samsung), sports coaching, or professional training, are based on UGC. Windows 8-based laptops and tablets, and Android-based smartphones and tablets, started to incorporate gesture control in 2012. Samsung was the first major consumer electronics company to debut camera-based gesture recognition this year in its Smart TVs.

Industrial processes

The market for industrial machine vision was at $1.5 billion in 2011, growing over 10% a year. Real-time motion detection can help fine-tune processes to increase production levels and fasten problem solving and minimized unnecessary downtime.


Over one million people are killed each year in automobile accidents. By reducing the number and severity of collisions, vision-based safety systems may be able to save many thousands of lives. State of the art smart cameras for automotive require an image processing platform that not only captures images and video, but analyzes and processes the information in real-time. More and more, this analysis includes image and video analytics with features such as object identification for people, cars and bikes.


Besides fingerprint, face, and iris verification, real-time analysis of biometrics and gait are increasingly used for access control and unique human identification.


Medical software products must deliver superior image quality and fast processing speed to help reduce healthcare costs by increasing diagnostic accuracy and improving clinical workflow. For instance, such products are crucial in image-guided procedures when constant feedback is required or to study the function of moving structures in real-time."


Many machines and robots are increasingly able to visually interact in real time with their environment, people and other visually intelligent devices.