Facial recongition software

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants.

Facial recognition. The City of San Francisco has actually banned the use of facial recognition by police and other agencies. Microsoft deleted an entire database of faces that was filled with more than 10 million images. The ACLU has been extremely vocal about facial recognition technology, calling for more regulation and protection. Facial recognition technology can identify a person from a photo or video.

Face recognition is a method of identifying or verifying the identity of an individual using their face. Face recognition systems can be used to identify people in photos, video, or in real-time. Law enforcement may also use mobile devices to identify people during police stops. Facial recognition software is particularly bad at recognizing African Americans and other ethnic minorities, women, and young people, often misidentifying or failing to identify them, disparately impacting certain groups.

A US government study suggests facial recognition algorithms are far less accurate at identifying African-American and Asian faces compared to Caucasian faces. Amazon - which sells its facial recognition product Rekognition to US police forces - did not submit one for review. The retail giant had previously called a study from the Massachusetts Institute of Technology "misleading". That report had suggested Rekognition performed badly when it came to recognising women with darker skin.