A machine vision system is a set of hardware and software designed to allow a computer or robot to "see" and interpret the visual world, much like how humans use their eyes. These systems typically consist of a camera, lens, lighting, and processing hardware or software. The camera captures images or video frames, which are then processed by the software to extract useful information. This can involve tasks such as object recognition, image segmentation, motion tracking, or pattern recognition. For example, in industrial automation, a machine vision system might use cameras to inspect products on a production line, check for defects, and verify dimensions. It can also help robots navigate and manipulate objects in environments like warehouses. Machine vision systems are used in a variety of industries, from automotive manufacturing (where they ensure parts are correctly assembled) to agriculture (where they help in crop monitoring and sorting). By automating visual tasks, machine vision systems can increase efficiency, reduce errors, and enhance the overall performance of machines and robots in various applications.
What is a machine vision system?
- Evaluating Your RAG Applications: Methods and Metrics
- The Definitive Guide to Building RAG Apps with LlamaIndex
- Getting Started with Zilliz Cloud
- AI & Machine Learning
- GenAI Ecosystem
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
How do you protect user privacy in AR experiences?
Protecting user privacy in augmented reality (AR) experiences is crucial, as AR often involves collecting sensitive data
What are autonomous AI agents?
Autonomous AI agents are software programs designed to perform tasks or make decisions independently, without human inte
How does texture analysis impact image search?
Texture analysis significantly impacts image search by enhancing the ability to understand and classify images based on