Oddity improves the effectiveness and efficiency of your video surveillance center drastically. Through smart surveillance, we make cities, public transport, and health care safer than ever before.
The amount of violence against health care employees is rapidly increasing. In regular and mental hospitals, we can ensure a safer workplace by instantly detecting violence.
Violence in public transport is a major problem, and reports show that it is increasing every day. Violence detection software is added to your existing CCTV system, to secure stations and public transport.
We detect violence in many cities and are ready to deploy any time. Choose Oddity.ai for proactive surveillance and rapid response to incidents.
Have you developed an AI model or a prototype, but are unsure about its deployment to a production environment? Oddity developed their deep learning engine to work with any machine learning model. It is specifically designed for deploying AI in on-premise environments, catering to real-time video applications.
Our customers register 4x more incidents than before they started using our algorithm.
4x
more incidents caught
Always and automatically improving. Our algoritms are based on deep learning. They get better and better the more you use them.
Based on innovative scientific research insights. We developed our behavioral analysis technology at a research university.
Our algorithms are faster and more accurate than human personnel by using cutting-edge scientific insights.
Privacy is of utmost importance in the security domain. We built our software safeguarding this principle.
Our behavior analysis is completely anonymous. We do not recognize faces, match identities or track people.
anonymous analysis
on premise
Our algorithm can be deployed on premise. This way your data does not leave your network.
Technology has rapidly progressed to the point where modern chips can do billions of calculations a second. Oddity uses state-of-the-art hardware to analyze over 200 cameras in real time on a single server.