Giving machines "vision" capabilities
Smart cameras process, identify, detect, and verify various elements in the environment and react accordingly.
Customized machine vision systems intelligently interpret the surrounding environment and then instruct other mechanical devices on how to operate.
The output machine's "ideas"
Hardware required for high reliability and performance in machine vision systems
Market Forecast
The Future of Machine Vision
The global market value of machine vision is projected to reach $18.4 billion by 2028.
*Information source: MarketsandMarkets
Benefits of machine vision
Industrial machine vision provides equipment with the ability to observe, analyze, and perform actions, which helps to:
A whole new world
Powered by perceptual artificial intelligence
When cameras and artificial intelligence are combined to capture images and data, they can revolutionize how machines interact with the world.
Perceptual AI enables robots to perceive everything happening in their surroundings through their visual abilities and make important decisions to ensure that they do not slow down, including making real-time decisions that are crucial to their role.
A broader perspective
Machine Vision - Beyond Industry
Car safety
By 2050, the use of machine vision in automobiles could save 250,000 lives, prevent 14 million injuries, and avoid 37 million car accidents.
ADAS, radar, lidar, and NSS enable automotive vision systems to better identify a range of features, including environmental factors. The increased coverage of these vision systems makes them more sensitive to traffic signals, potential hazards, road conditions, and other road users.
Smart Energy System
In 2022, the market value of artificial intelligence in the energy market was $6.8 billion, and it is projected to reach $42.7 billion by 2029.
Machine vision systems can detect anomalies, predict maintenance needs, and identify potential failures before critical assets such as power plants, pipelines, and wind turbines fail. In wind power areas, machine vision systems can detect wind speed and direction to determine the most advantageous location for generators to capture energy.
Fruitful Agriculture
To meet projected food demand, crop yields need to increase by 60% by 2050.
Driven by AI-based machine vision applications, smart agriculture is helping to revolutionize precision agriculture and urban agriculture practices by automating processes through robot guidance and object detection.
