Low-Latency Camera Streaming
We receive images from IP cameras over RTSP with low latency using FFmpeg and pass every frame to the processing pipeline. The application handles dropped connections and reconnection on its own.
Area Detection and Automatic Calibration
We find the area of interest in the image, such as a board, document, screen or gauge, using edge detection and line fitting. Corner points are detected automatically, and users can fine-tune them manually if needed.
Separating Moving Objects
With background modeling, we learn the static part of the scene and separate people and objects passing in front of it. This way, a person standing in front of a surface is removed from the image and the content behind stays visible.
Image Enhancement
We balance changing lighting with CLAHE and illumination correction, and make text and lines stand out with contrast and sharpness adjustments. When needed, we can also convert the image into a clean two-color view.
Perspective and Lens Correction
We turn surfaces captured from an angle into a straight rectangle using homography, and correct the curvature caused by wide-angle lenses.
Real-Time On-Device Processing
We run the image processing pipeline natively on Android devices and display the result smoothly with OpenGL ES. Because images never leave the device, network dependency and data privacy risks are reduced.
With our computer vision solutions, we turn camera images into meaningful information for your users and systems. Contact us to evaluate your use case together.