We are a leading developer of semiconductor processing solutions for video that enable high-definition, or HD, video capture, analysis, sharing and display. A device that captures video includes four primary components: a lens, an image sensor, a video processor and storage memory. The video processor is the most complex of these four primary components as it converts raw video input into a format that can be stored and distributed efficiently and, in some cases, analyzes the video data to automate processes and make intelligent decisions. We combine our processor design capabilities with our expertise in video and image processing, computer vision algorithms and software development to provide a technology platform that is designed to be easily scalable across multiple applications in a variety of markets and enable rapid and efficient product development for our customers. Our system-on-a-chip, or SoC, designs fully integrate HD video processing, image processing, computer vision functionality, audio processing, and system functions onto a single chip, delivering exceptional video and image quality at high compression rates, differentiated functionality and low power consumption.
The flexibility of our technology platform enables us to deliver our solutions for numerous applications in multiple markets. We initially focused our technology platform on the broadcast infrastructure market, where we were able to differentiate our solutions for broadcast customers based on high performance, low power consumption, transmission and storage efficiency and small form factor. Leveraging these same capabilities, we then designed high-performance solutions for the camera market. As a result of the advantages of our solutions, we became a leading provider of video processing solutions for cameras that capture both HD video and high-resolution still images simultaneously, such as camcorders, pocket video cameras, wearable cameras and IP security cameras.
Over the last several years, we have been expanding our development efforts on computer vision technology that complements our image processing and video compression technology. We believe that enhanced computer vision functionality is critical both to our current video markets, such as IP security cameras, as well as future markets such as automotive OEM cameras for advanced driving assistance systems, or ADAS, autonomous vehicles, and in the future, robotic applications. Our development efforts focused on creating advanced computer vision algorithms and high-performance, low-power hardware platforms to enhance processing acceleration, which we refer to as our CVflow architecture. The CVflow architecture supports a variety of computer vision algorithms, including stereo obstacle detection and terrain mapping technology, and allows customers to differentiate their products by porting their own algorithms and neural networks to our CVflow-based chips. In 2017, we introduced our first computer vision semiconductor chip, the CV1 SoC. In 2018, we introduced three new computer vision based SoCs to enable our customers to develop intelligent camera systems for a variety of markets at different feature levels.