Robotics Vision Tracker — Free Robotics Tutorial
Learn Robotics Vision Tracker in Robotics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Robotics Vision Tracker in Robotics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
Written & reviewed by the Syllab.in Academic Team (CBSE/NCERT subject experts) · Updated
Robotics Vision Tracker in Robotics
A tracker robot uses a camera to detect and follow a colored object (ball, person, target). Requires: real-time image processing, motor control feedback, stable PID tuning.
Challenges: lighting changes, object loss (reacquire), scale changes (object moving closer/farther), multiple candidates (pick the right one).
Solution: OpenCV + servo-controlled camera + differential motor control. PID loop maintains object centered in frame.
Robotics Vision Tracker — Syntax
# Python: Ball Tracker
import cv2
import numpy as np
def track_ball(frame):
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lower = np.array([0, 100, 100])
upper = np.array([10, 255, 255])
mask = cv2.inRange(hsv, lower, upper)
contours, _ = cv2.findContours(mask, ...)
if contours:
c = max(contours, key=cv2.contourArea)
(x, y), r = cv2.minEnclosingCircle(c)
error = x - (frame.shape[1] / 2)
return error
return 0
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