OBJECT DETECTION AND ESTIMATING THE DISTANCE BETWEEN DETECTED OBJECTS USING DEEP LEARNING ALGORITHMS

OBJECT DETECTION AND ESTIMATING THE DISTANCE BETWEEN DETECTED OBJECTS USING DEEP LEARNING ALGORITHMS

VUNNAM ESWAR CHANDU1,CHAGARLAMUDI HARSHITHA2,VENNA NAVYA SREE3,ELURI GANESH4

1Vunnam Eswar Chandu, Department of Information Technology & Dhanekula Institute of Engineering and Technology

2Chagarlamudi Harshitha,Department of Information Technology & Dhanekula Institute of Engineering and Technology

3Venna Navya Sree, Department of Information Technology & Dhanekula Institute of Engineering and Technology

4Eluri Ganesh, Department of Information Technology & Dhanekula Institute of Engineering and Technology

5Ch Ramesh Kumar, Associate Profesor & Dhanekula Institute of Engineering and Technology

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Abstract - Object detection is a computer vision technique that allows us to identify and locate objects in an image. Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Object detection involves a bounding box around each object in the image and distance should be estimated between objects. It is used to identify the objects in a given image like person, bicycle, dog etc. With this kind of identification and localization, object detection can be used to count objects in a scene and determine and track their precise locations, all while accurately labeling them. In our project we are using the COCO dataset and YOLOv3 using a deep learning method.

Key Words: Deep learning-YOLO, a monocular camera, distance calculation, and object identification