DanielMartensson/CControl
Using advanced control and computer vision techniques in an easy way for embedded
This library provides a toolkit of mathematical functions to help engineers and researchers develop advanced control systems, computer vision applications, and data analysis routines for various hardware, especially small embedded systems. It takes raw sensor data, images, or numerical inputs and delivers processed information, such as object detections, optimized control signals, or analyzed patterns. It's intended for control engineers, robotics specialists, and signal processing experts working on resource-constrained devices or desktop applications.
269 stars.
Use this if you need to implement sophisticated numerical methods for control, vision, or machine learning on microcontrollers, embedded systems, or even desktop applications, prioritizing efficiency and a compact footprint.
Not ideal if you primarily work with high-level languages like Python or MATLAB and do not require C-level control or optimization for embedded hardware.
Stars
269
Forks
59
Language
C
License
MIT
Category
Last pushed
Oct 21, 2025
Commits (30d)
0
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