SERVEXO
Field service management platform
One platform for work orders, technician dispatch, scheduling and reporting, in Arabic and English.
Computer vision
Python/OpenCV Image Processing
Canny edge detection built from scratch and benchmarked against OpenCV, plus SIFT and ORB feature matching.
Overview
Two computer-vision pipelines. The first implements every stage of Canny edge detection and compares it with cv2.Canny across four settings with a difference map. The second extracts and matches SIFT and ORB features between two images and times each method.
The challenge
A library call hides how the algorithm behaves. Building Canny stage by stage shows the effect of each parameter and gives a reference to judge the library output.
Our approach
Key capabilities
- Every Canny stage, from Gaussian smoothing to hysteresis
- Comparison with OpenCV across four settings
- ORB keypoint extraction and display
- SIFT and ORB matching with timing
- Portable output paths for any machine
Inside the project
Outcomes
- Both pipelines run end to end and produce the figures shown here
- Side-by-side benchmark of a custom implementation against OpenCV
Technology
Try it
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