INFOGRAPHIC

Giving Machines Sight

Smart cameras process, identify, detect, verify, and react to elements in their environment

When designed and customized, machine vision systems intelligently interpret their surroundings before instructing other mechanisms on what to do with the information.

A smart camera takes a picture of a product on a manufacturing line, the image information is sent over to the image processing station and with the help of software they can detect any issues with the product. If an issue exists, the command is given to the robotics system to move that product off the line.

Mapping the Mind of Machines

Hardware components required for reliability and performance in machine vision systems

A lens of a security camera showing four hardware components: Hardware Accelerators, PCIe, RAM, and I/O.

MARKET PROJECTIONS

The Future in Sight

The global machine vision market is expected to grow to $18.4 billion USD by 2028

In 2023 the machine vision market was $12.9B globally but it projected to be $18.4B by 2028.

Source: MarketsandMarkets

VISIONARY BENEFITS

Industrial Machine Vision gives equipment the ability to see, analyze, and act, which:

Boosts Productivity

Lowers Costs

Increases Operational Efficiency

Ensures Accurate Data

Provides Precise Measurements

Increases Safety

A BRAVE NEW WORLD

Powered by Perceptual AI

A robotic arm inside of a virtual box with silhouttes of people outside showing the perceptual awareness of the robotic arm.

When cameras and AI combine to capture images and data, they can revolutionize how machines interact with the world

Perceptual AI means the robot can visually perceive what is happening in its environment and make vital decisions, ensuring its operation does not slow. This includes making real-time decisions critical to its role.

A GREATER WORLD VIEW

Machine Vision - Beyond Industrial

Automotive Safety

By 2050, the use of machine vision in cars could save 250,000 lives; preventing 14 million injuries and 37 million crashes.

Source: AAA Foundation for Traffic Safety

A car on the left with silhouttes of people on the right and spacing lines in between to show the car is detecting the people.

ADAS + Radar + Lidar + NSS enable automotive vision systems to better identify an array of features including environmental elements. The scope of these vision systems brings greater responsiveness to traffic signals, potential hazards, road conditions, other road users, and more.

Smart Energy Systems

AI in the energy market, valued at $6.8 billion USD in 2022 and is expected to reach $42.7 billion USD in 2029.

Source: MMR

Three electricity generating windmills with a blue arrow simulating arrow going past them from left to right.

Machine vision systems can detect anomalies, predict maintenance needs, and identify potential failures before they occur in critical assets such as power plants, pipelines, and wind turbines. In wind farms, machine vision can detect the speed and direction of wind, allowing the turbines to be positioned for maximum energy capture.

Fruitful Farming

To meet projected food demands, crop yields need to increase 60% by 2050.

Source: Food and Agriculture Organization of the United Nations

A robotic arm with many circles in rows below it to simulate robotics picking crops.

A robotic arm with many grey circles in rows below it and the robot is picking out the one blue circle.

Smart farming, driven by AI-powered machine vision applications, is helping to revolutionize precision farming and urban agricultural practices while enabling automation through robotic guidance and object detection.