Frames per second (FPS)

In machine vision, frames per second (FPS) refers to the number of images a system can capture and process per second. A higher FPS indicates faster processing and is crucial for applications requiring real-time analysis of moving objects or events.
Key aspects of FPS in machine vision:
Image Capture:
FPS is a measure of how quickly a machine vision camera can capture images.
Processing Capability:
It also reflects the system's ability to process and analyze those images.
Application Specific:
The required FPS varies depending on the application. General monitoring might only need 30-60 FPS, while high-speed activities like packaging or robotics require 60-90 FPS or even higher for detailed motion analysis.
High-Speed Cameras:
Specialized cameras, often referred to as high-speed cameras, can capture at hundreds or even thousands of FPS, allowing for detailed analysis of fast-moving objects or processes.
Factors Affecting FPS:
Image size, resolution, and exposure time can all influence the achievable frame rate.
Real-Time Performance:
High FPS is essential for real-time applications where the system needs to keep up with the incoming video stream, like in video surveillance or robotics.
For example, Microtron states that their high-speed cameras can achieve frame rates of up to 225,000 FPS, allowing for precise analysis of processes and objects. Vision Systems Design reports that if faster frame rates (greater than 30 fps), more pixel depth, or more spatial resolution are needed, a digital camera and frame grabber are better options than a standard analog camera and frame grabber