Machine Vision Filters
Enhancing Image Contrast: Filters can increase the contrast between different features of an image, making it easier to distinguish between them.
Adjusting Color Rendition: Filters can correct or enhance the colors in an image, ensuring accurate color representation.
Blocking Unwanted Illumination and Glare: By selectively filtering out unwanted light, filters can reduce glare and reflections, improving image clarity.
Reducing Image Brightness: Neutral density filters can reduce the brightness of an image without changing the exposure time or adjusting the f-number (f/#).
Applications: Autonomous Driving, Safety Monitoring, Intelligent Traffic Systems, Automated Facilities, etc.
Machine vision is the process of enabling machines to perceive and recognize images, similar to human vision. This technology holds significant potential in various fields, including autonomous driving, safety monitoring, intelligent traffic systems, and automated facilities. A machine vision system comprises three main sections: image acquisition, image analysis, and action implementation. Machine Vision Filters are a critical part of the image acquisition section, designed to improve image quality by manipulating the spectral characteristics of the light entering the image vision system, making the observation of objects clearer.
Features:
- Enhancing Image Contrast: Filters can increase the contrast between different features of an image, making it easier to distinguish between them.
- Adjusting Color Rendition: Filters can correct or enhance the colors in an image, ensuring accurate color representation.
- Blocking Unwanted Illumination and Glare: By selectively filtering out unwanted light, filters can reduce glare and reflections, improving image clarity.
- Reducing Image Brightness: Neutral density filters can reduce the brightness of an image without changing the exposure time or adjusting the f-number (f/#).
Applications:
- Autonomous Driving: Enhancing the clarity and contrast of images for better object recognition and navigation.
- Safety Monitoring: Improving image quality to detect potential hazards and ensure safety.
- Intelligent Traffic Systems: Enabling accurate image capture for monitoring and managing traffic flow.
- Automated Facilities: Enhancing image analysis for better automation and efficiency in manufacturing processes.
Kingwin Optics offers a full portfolio of machine vision filters, including stock bandpass filters and mounted versions for ease of integration into imaging lenses. These filters are engineered to deliver optimized results for various machine vision applications, ensuring high performance and reliability.
