The current and future applications of object detection are several. They are discussed below:
Optical character recognition, also known as optical character reader (OCR) is the electronic conversion of images present in typed, handwritten or printed text format into machine-encoded text. It can be taken from a scanned document, a photo of a document, a scene-photo or from subtitle text superimposed on an image. The job is to extract characters from the image.
Autonomous driving is another one of the best examples of using OCR technology. For deciding what should be done next in accelerating, applying brakes or turn, it must know the location of objects around the car and what those objects are. This requires object detection and the car is trained to detect a known set of objects such as cars, pedestrians, traffic lights, road signs, bicycles, motorcycles, etc.
Tracking of objects is also the job of object detection. The example can include tracking balls or players during a football,cricket or any other match. Some of the uses include surveillance and security, traffic monitoring,video communication, robot vision, and animation
Face detection and Face Recognition is used at a great level used in computer vision task. As an example, we see that our face gets detected whenever we upload an image on facebook or Instagram.This is a simple use of object detection.
Image segmentation is the process of dividing an image into subpartition on the basis of some characteristics like color, intensity etc. The main aim of object extraction is changing the representation of an image into something more meaningful.
The aim of Activity recognition is to recognize the actions and goals of one or more agents from a series of observations by observing agents' actions and the environmental conditions deeply. It provides personalized support for many different applications and its connection to many different fields of study such as human-computer interaction, or sociology.
The object detection system can also be used for counting the number of objects or people present in the image or real-time video. Moreover, it also analyzes store performance or crowd statistics during festivals.