Using image analytics, CPGs can see ‘shelf share’ metrics for brands and be notified if any are out of stock. Analytics can even determine if retailers are complying with CPG’s ideal product placement on the shelf.

Detecting and recognizing objects in images and videos can reveal insights that drive value. Face-recognition systems on real-time video feeds can assist with security surveillance or managing attendance. AI can also identify brands and logos to detect specific products in shopping aisles.

AI-based analytics on satellite images can be used to detect traffic in real-time, analyze parking lots, and segment buildings. AI can also be used for business use cases in maritime piracy detection, deforestation detection, and fire and smoke identification.

Insurers can improve their auto claims estimates by using automated AI image identification to analyze external damage to cars, identify affected parts, and detect car brands.

Using AI algorithms, insurers can detect and assess damage from drone or satellite images of rooftops. Insurers can offer faster claims processing times with accurate and repeatable results to provide better customer experiences for home owners.

AI algorithms can automatically identify actions performed in a video to create better customer experiences. For example, using video to see how a customer interacts with a product can help manufacturers design better quality products.

Face recognition can detect and identify faces in real time for use in security surveillance, attendance management, criminal identification, and more. It can track people and log their attendance, identify suspicious people, and reveal insights such as demographic information and facial expressions.