What Machine Vision is and where it is used
Machine vision is a technology in the field of artificial intelligence for image recognition. In general, the tasks of machine vision systems include capture of the images on the device, processing on the edge, and link it to machine response.
Computer or machine vision technologies are used across different industries: from traffic control and public services, medical imagery, and robotic processing at the industrial sites .
As Industrial 4.0 revolution penetrates across our lives, there is an increasing interest in machine vision AI, IOT (internet of things) for optimizing the manufacturing production. Today, machine vision systems are an effective tool for controlling performance, detecting anomalies and reducing human supervision at site.
Use cases: automating production
Sensors and industrial cameras have opened up new perspectives in the automation of the production process:
measurement (measuring/testing specific product dimensions)
product verification (checking the correct position of all parts on the assembly)
product identification (barcode and 2D code reading, product type determination based on shape, size, and other characteristics)
product sorting (for example, sorting packages by color, etc.)
navigation system (determining the position of the product on the assembly line and using its coordinates for IOT device).
Use case from: Blumenbecker group
Use cases: safety and protection
In the field of industrial safety, there are several important tasks.
Perimeter control as a measure against crime and unlawful trespassing. These video analytics has been around for years. But with computer vision AI, there is a likelier chances it to be detected early.
Safety movement control. In the companies of chemical or metal production, the departments of Hazardous Materials Safety, has been implementing the monitoring systems using AI. With the better control, there is a reduced risk of employees to avoid injuries, in loading or uploading or approaching certain areas. In some advanced cases, sites are using historical video analytics to design the paths for optimized and safe performance at production.
Another example of a safety-related application is detecting helmets or safety gear. Computer vision and machine learning have made it possible to automatically identify non-compliance.
All these techniques lead us to the case, where AI will also bring a significant data value to insurance companies. What is more, it can become easier to solve insurance cases.