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Laser Box Measurement

Image Processing to Detect Planar Dimensions (Academic)

Summary

My team and I created a system for measuring planar surfaces by utilizing image processing and sensor calibration techniques. Edge detection was used to isolate the target, and laser-point calibration ensured precise distance measurement.

Skills Used

Image processing, Sensor calibration, Edge detection algorithms, Python programming, HSV color space manipulation, Error handling, Data visualization, Interpolation techniques

Results

Accurate measurements with combined width/height error of 4.95%, and accurate HSV readings from a smartphone camera.

Image Processing

Outlining Pink Object

Cropping Pink Object

After cropping the final image, Python used HSV color space for laser detection to get the pixel location of each, thus creating the pixel ratio.

This run was executed with a 3.4% error for width and a 6.5% error for height.