Artificial intelligence (AI) in the form of computer vision enables computers to evaluate visual input, such as images and video, and come to intelligent conclusions. By employing software and hardware to reconstruct, translate, and analyze films and images, computer vision models and replicates human vision. Image classification, object detection, image similarity, image segmentation, keypoint detection, and object detection are the five categories of computer vision applications.

The Benefits of Computer Vision for Airports
Additionally, computer vision can assist airports in managing customer service and security, particularly when staffing is low. Here are two examples:

Experience of the passenger: Everyone is aware of how frustrating it may be to wait in line at gates and security checkpoints. Unfortunately, this fact will probably continue to be a part of flying for some time to come. By proactively deciding whether to open a second security line or add more customer care staff to an airport check-in counter, cameras with computer vision capabilities can enhance line management. Additionally, by using computer vision and passenger data to authenticate a person’s identity and then automatically authorizing travelers who qualify for pre-check, an airport can more proactively manage the customer experience.

Handling of bags: Computer vision cameras and sensors can improve the accuracy of passenger bag inspections. Smarter cameras can detect and flag more minute, harder-to-find objects, reducing the likelihood that unsafe or illegal items would pass through monitoring.

A camera using computer vision may learn to detect items more correctly and not mix them up with other objects by using deep learning technology and it can be applied to various use cases in daily airport operational.