Object detection is a computer technology related to computer vision and image processing that offers the capability of identifying instances of semantic objects of specific classes (e.g., humans, buildings, and cars) within digital images and videos. In addition it provides localization information on the whereabouts of such objects. This procedure sets it apart from classification, which only informs about the type of object.
Object detection has various applications across a range of fields, including autonomous driving, surveillance, robotics, healthcare, and more. It can be employed in numerous ways so as to ensure optimal results when utilizing artificial intelligence.
Applications of Object Detection
- Object detection plays an essential role in enabling autonomous vehicles to navigate safely on roads by detecting and localizing pedestrians, vehicles, traffic lights and road signs.
- It is also widely used in surveillance systems for identifying potential threats and alerting authorities.
- Additionally, it is a key component in robotics, aiding perception of the environment and interaction with objects.
- Furthermore, object detection is highly beneficial in medical imaging applications such as cancer detection, X-rays or CT scans analysis, and MRI scans segmentation.
- Lastly, it can be applied in retail sectors for monitoring customers’ behavior, tracking inventory, and fighting shoplifting.
