Herta has unveiled a new emotion detection solution that can be used to analyze and categorize people’s facial expressions in video footage. The solution was built with input from enforcement professionals, who will also serve as some of Herta’s primary customers.
In that regard, Herta argued that the new platform will be particularly useful in interview settings, since it will allow law enforcement officers to process hours of video footage in a short amount of time. The product has been dubbed BioObserver, and it will be available on a Software-as-a-Service basis.
Organizations that deploy BioObserver will be able to configure it to watch for and log specific events and facial expressions. The platform classifies expressions and micro-expressions using Paul Ekman’s Facial Action Coding System, picking up small gestures like blinking or frowning that can in turn be combined to convey more complex emotions like anger, fear, or surprise.
In addition to tracking those smaller facial movements and emotions, BioObserver can monitor someone’s gaze and head orientation to figure out where they are focusing their attention, and their level of investment in that object or person. According to Herta, the solution can also be used to evaluate someone’s overall state of mind.
Herta is best known for its facial recognition software, which picked up a Europe Customer Value Leadership Award from Frost & Sullivan in February of 2020. Shortly after that, the company updated its platform to give customers the ability to identify people who are wearing masks. That update was a response to COVID-19, with Herta indicating that the pandemic accelerated the launch of a technology that was already in development.
Herta’s software has proven to be popular in larger venues that are open to the public. The company’s facial recognition tech has been deployed in a museum in the Middle East, and to identify blacklisted individuals at three sports stadiums in Uruguay.
January 20, 2021 – by Eric Weiss