Top 5 sectors using Embedded Vision Technologies

Over the past ten years, the embedded vision has expanded and risen to the top worldwide. An array of industries, including manufacturing, security, healthcare, and transportation, are being aided by computer vision. The broad use of machine learning and AI could be the actual reason for the embedded vision's growth rapidity.

e-con Systems, which was founded in 2003, has developed into a top OEM camera system manufacturer with a substantial global footprint. They offer complete camera solutions, including stereo cameras, USB 3.1 Gen 1 cameras, GMSL cameras, MIPI camera modules, and more. They have reinvented their use in a variety of contexts over time, including retail, healthcare, manufacturing, agriculture, smart cities, etc.

Embedded vision companies are rapidly emerging in all sectors all over the world. Here are the top 5 sectors that are using embedded vision technology to strengthen their position in the ever-growing market:

• Healthcare Sector: The healthcare sector is under a great deal of stress, from managing an increased patient load to addressing a staffing shortfall. Consequently, cameras are playing a bigger role in today's healthcare processes. Medical device manufacturers use imaging technology to give healthcare professionals and practitioners new ways to inspect, diagnose, monitor, and treat patients while using minimal resources. This is essential in this pandemic-influenced period.

• Retail Sector: Today's AI systems assist retailers in a variety of ways, including customer attraction, layout optimization, shelf inspection, inventory management, theft prevention, shortened checkout lines, handling busy shopping seasons, and more. A real-time smart vision-equipped system is required to perform these. This automation becomes possible by the smart placement of cameras and sensors in retail stores that are connected to on-site and cloud processing.

• Education Sector: Offering more visual assistance to students in order to give them an enhanced learning experience is on the increase all around the world. Additionally, the use of remote classrooms and virtual presence in schools is growing. Such remote and intelligent classrooms depend heavily on cameras and image processing. Applications will include streaming and recording of video, VR, AR, and other technologies.

• Agriculture sector: With almost 8 billion people to feed, agriculture must continuously adapt to new technology. In order to increase crop performance, decrease resource wastage, and reduce the need for resources like water and labor, auto farming or smart agriculture today collects, processes, and uses information from the environment, weather, and fields.

• Broadcasting Sector: Sports broadcasting has been going on for years, but lately there is an increasing demand to automate and enhance this broadcasting. Imaging and AI can greatly assist in automating broadcasting, from placing the camera to capture live action to altering the film based on the game to providing commentary. The video footage can be used for game analytics, which in turn can help with competitive contest decisions, game statistics development, and training program creation, in addition to aiding in broadcasting.