Deep Learning has been made very fashionable over the last few years and people have tended to use the term synonymously with Artificial Intelligence ever since “tech giants” like Google and Microsoft have embraced it. The technology is very powerful for categorizing objects within an image. One can provide it with a large dataset of any object e.g. 10,000 images of dogs, and the system can be trained to detect the next dog that comes along.
Deep Learning requires large training data sets and is very computing heavy. It is difficult for the technology to be applied to practical use-cases. Wildfaces recently completed a project for the Hong Kong Prisons where they wanted to detect suicide attempts. There was no opportunity to collect a large dataset of relevant cases. For that requirement, Wildfaces applied its unique ReasoningAI technology that could better mimic human intelligence, ensuring a quick and successful deployment.
The latest IoT camera devices are now mounted on moving carriers, for example, drones wearables or robots. Typical vision-based AI solutions can lose its context as both the foreground and the background move simultaneously. Wildfaces has overcome this challenge with a new type of AI that it has developed called WildAI. Both ReasoningAI and WildAI require very limited or even no datasets for training. This results in light computing, enabling systems to understand their environment in a way that Deep Learning never could. These are destined to ensure systems develop greater levels of comprehension than has been possible in the past.
WildFaces developed its algorithms from scratch, so it is not dependent on any overused open source code, or overpriced GPU-based hardware solutions. Self-developed algorithms provide us with the flexibility to build unique us to meet customers’ specific needs including for wildly complex and congested scenarios..
of moving IoTs
At Far Distances
No Fixed Infrastructure
WildFaces’ On-The-Move Recognition capability has overcome the constraints of Traditional Recognition Approach
For Wildly Congested Scenes
EFFICIENT ALGORITHMIC APPROACHES
Furthermore, the company’s unique Smart Compression utilizes a ‘fog computing’ capability to make video analytics on the cloud possible even in limited bandwidth environments. It is an affordable solution with versatile applications in demanding and price-sensitive markets.