Retailers can use computer vision to enhance the shopping experience, increase loss prevention and detect out-of-stock shelves. Computer vision is already helping customers checkout more quickly – aiding using self-checkout machines or combining with machine learning to alleviate the checkout process completely.
In manufacturing, businesses use computer vision to identify product defects in real time. As the products are coming off the production line, a computer processes images or videos, and flags dozens of different types of defects — even on the smallest of products.
Public Sector agencies use computer vision to better understand the physical condition of assets under their control, including equipment and infrastructure. Computer vision can help agencies perform predictive maintenance by analyzing equipment and infrastructure images to make better decisions on which of these require maintenance. In addition, Public Sector agencies use computer vision to help monitor compliance with policies and regulations. For example, computer vision can be used to detect contraband in cargo, flag potential safety violations in buildings, review labels for adherence to guidelines, and ensure compliance with conservation regulations. Finally, as drones become used more defense and homeland security needs, the use of analytics to identify and analyze critical elements from the visual feed will rise to the forefront of computer vision use cases in the public sector.
In the medical field, computer vision systems thoroughly examine imagery from MRIs, CAT scans and X-rays to detect abnormalities as accurately as human doctors. Medical professionals also use neural networks on three-dimensional images like ultrasounds to detect visual differences in heartbeats and more.
In high-security environments like banking and casinos, businesses use computer vision for more accurate identification of customers when large amounts of money are being exchanged. It’s impossible for security guards to analyze hundreds of video feeds at once, but a computer vision algorithm can.