AI Object Detection

Number plate recognition

Using the combination of object detection and Optical Character Recognition (OCR), our system excels at recognizing alphanumeric characters on automobiles. Object detection collects photos and correctly recognizes cars inside them. OCR detects the number plate and effortlessly turns the 2-dimensional data into machine-encoded text, assuring accurate and dependable character reputation.

Face detection and recognition

A prominent application of object detection is face detection and recognition. Modern algorithms allow for specific recognition of human faces in both images and movies. Also, advances in one-shot learning algorithms now allow facial recognition with the most effective single training image, demonstrating the astounding ability of modern technology.

Object tracking

During baseball or cricket games, the ball regularly travels long distances, making it crucial to monitor its movement and distance. Object tracking gives continual updates on the direction of the ball's motion, allowing complete surveillance at some point in the game.

Self-driving cars

For secure riding in the world of autonomous automobiles, a detailed exam of the environment is important. Using object identification models skilled throughout numerous training is essential for correctly recognizing various entities and assuring the optimal overall performance of independent motors.

For safe driving in the world of autonomous vehicles, a detailed examination of the environment is essential. Using object identification models trained across several classes is critical for effectively recognizing diverse entities and assuring the optimal performance of autonomous vehicles.

Robotics: many tasks like lifting heavy loads, pick and place operations, and other real-time jobs are performed by robots. Object detection is essential for robots to detect things and automate tasks.