Camo for Hazmat helps first responders train, prepare and respond to chemical, biological and nuclear incidents. Using artificial intelligence, it helps identify source of CBRN incidents and provides step-by-step resolutions.

Scientific Feasibility. The app uses advancements in artificial intelligence to compare current incidents against previous incidents. Through image classification and pre-trained models, the app can automate threat detection and response plan.

Enabling Technologies. The machine learning models can be optimized for the response teams over the cloud or directly on edge devices. The responders would be able to classify new incidents into predefined categories to help expedite response to future incidents. It will also enable knowledge sharing and training across all CBRN response teams.

Solution's Uniqueness. Camo for Hazmat improves accuracy of the CBRN incident response teams and reduces the stress-levels on the responders in potential hazardous situations. Responders can leverage the technology to make informed decisions. It would reduce the need to search through manuals that are currently being used to determine hazmat response.

Operational Impact. Camo for Hazmat reduces the likelihood of incorrect response to a Hazmat incident. It empowers our first responders with technology that can reduce response time, make them better prepared, increase visibility to leadership and save lives.

Commercial Product Viability. This application is of potential interest to hazmat, fire, civil support teams, homeland response forces and the US military at the local, state and federal level. Camo for Hazmat may also interest companies that deal with chemicals and other hazardous materials.