Machine vision AI is a form of machine learning that augments classic computer vision algorithms with models called neural networks. The technology helps machines detect and recognize objects and features, such as their shape and texture. Several businesses have already utilized AI for various business processes, including quality control and inspection.
The machine vision AI market is estimated to grow from $4.1 billion in 2020 to $15 billion by 2025. In addition to boosting efficiency and decreasing costs, this technology can also improve worker health.
Whether a factory operator needs to check that a coworker is doing a job properly, or that a fuel truck is operating safely, the smart machine vision system can help. The system can automatically shut down equipment or raise an alarm when a status changes. This means that the factory operator can focus on more important tasks. It can also help track products and inventory.
Traditionally, these AI-powered inspection systems have been used in R&D laboratories, warehouses, and manufacturing plants. They are also incorporated into predictive maintenance systems to minimize breakdowns and product deformities. Fortunately, these systems are getting better thanks to deep learning and AI.
As a result of these new technologies, the AI machine vision market has been growing at a fast rate. Currently, the market is forecast to grow at 30% compound annual growth rate to $15 billion by 2025. Aside from that, it is expected that the market will continue to develop as artificial intelligence is introduced and deep learning is combined with machine vision technology.
Today, manufacturers are under pressure to automate their processes. They want to reduce labor costs and maximize the output of their production lines. However, the increased demands of automation have strained their resources. By automating inspections, these companies can save time and money, while still retaining the highest level of product quality. Using an AI-powered computer vision system, these manufacturers can spot problems before they lead to failure, and can plan for preventative repairs.
Machine vision AI is an important component of industrial automation and product assembly. This includes inspecting packages, handling parts, and checking labels. During this process, the machine can identify defects such as cosmetic defects and surface flaws. Besides, it can detect and warn about dangerous situations, such as fires and explosions. These technologies can also enhance productivity, allowing workers to concentrate on more important activities.
Another important component of machine vision is tracking human poses. This is done through a model that modifies the visual inputs of a person’s face. The Faceapp application is popular for this purpose. Similarly, the Microsoft Kinect can accurately track a player’s actions. Among other things, the Kinect can detect skeletal joints on a 3D plane.
For example, the Faceapp uses generative adversarial networks to modify the visual inputs of a person’s image. It modifies features such as gender and age, and can even change the way a person looks.
One of the most prominent applications of machine vision is document processing. These systems can read and interpret handwriting, extract printed data, and perform various other functions.https://www.youtube.com/embed/Q6uJklbwv2I