AI BASED OBJECT TRACKING ROBOT USING OPENCV PYTHON
Object detection is a well-known computer technology connected with computer vision and image processing that focuses on detecting objects or its instances of a certain class (such as color) in digital images and videos. There are various applications of object detection that have been well researched including face detection, character recognition, and vehicle calculator. Object detection can be used for various purposes including retrieval and surveillance. In this study, various basic concepts used in object detection while making use of Open CV library of python , improving the efficiency and accuracy of object detection are presented.
The aim of this project is to present a method for object detection and tracking based on its color. By using this method, one can easily detect and track any object which may be a ball or book or even an enemy aircraft’s missiles.
Technology and Tools:
L298 MOTOR DRIVER
SOFTWARE INSTALLATION :
OPEN CV, NUMPY, PYTHON |INSTALL SOFTWARE USED PIP COMMAND PROMPT |OPEN CV IMAGE PROCESSING | BGR TO GRAY | BGR TO HSV | LOWER & UPPER RED COLOR IMAGE MASK | INTERFACE WITH USB CAMERA
DETECTION OF A SPECIFIC COLOR (RED HERE) USING OPENCV WITH PYTHON:
CAMERA SETTINGS | CAPTURING FRAMES |MASKING TECHNIQUE
RASPBERRY PI INTERFACE WITH H-BRIDGE MOTOR CONNECTION
-L298 MOTOR DRIVER INTERFACE WITH DC MOTOR | RASPBERRY PI INTERFACE WITH L298 | VNC VIEWER
BALL TRACKING ROBOT INTERFACE WITH RASPBERRY PI:
SUDO ALGORITHM | MASKING IMAGE | VNC VIEWER
TRACKING OF MULTIPLE OBJECTS.
POSITION OF CONTAINER CAN BE AUTONOMOUS.
AREA OF COVERAGE CAN BE EXPANDED.