We’re rolling out a Europe-wide solution for one client, to help them adhere to public health measures. Our solution analyses the number of people on-site and identifies any bottlenecks or overcrowding. This is sent to management via reports and heat maps.
In 2012, we’d already developed a technology we called Tag and Track, which was used to identify and monitor people in a crowd using AI. Now it’s helping to understand who has been in contact with a potential COVID-19 positive person. People can be tracked on multiple cameras through a space and are identified through features like their clothes, height, and movements. It gives operators a much more efficient and fast way to find someone (outside of COVID-19, this could be a police suspect, a child, or a vulnerable person) instead of sifting through hours of footage.
- Our product roadmap: understanding where we want our technology to be in 3-5 years and developing new features based on this.
- Projects: we get requests for bespoke solutions and this drives some new use cases for us. For example, we’ve just done a project where we trained a neural network to detect and identify 12-13 different types of apples.
- Partner integrations: looking at the technology our partners like Milestone are bringing out and how our integration can take full advantage of this.
Although concerns still surround the use of our data, the benefits of seeing our friends and tagging ourselves in the latest hotspot outweigh this. That’s the crux, to avoid pushback, educate people on the benefits of your technology.