
Deep Vision, alongside D-RisQ, were selected by Innovate UK and the Ocean Technology Council of Nova Scotia (OTCNS) to work together in their bi-country challenge focused on Improving Perception Capabilities for Uncrewed Maritime Systems. The project developed an on-board system to allow Unmanned Surface Vessels (USVs) to sense and avoid targets during missions, allowing for safe reliable passage without the need for user input.
Deep Vision harnessed it's machine learning expertise to develop advanced software that detects and tracks targets on the water's surface using video feeds from marine cameras. The extracted data is analysed to determine a target's direction and speed, enabling predictions of its future position.
D-RisQ is a high-tech UK company specialising in producing software and systems verification technologies based in Malvern, UK. D-RisQ built software to handle the vessels behaviour using their unique programming software to ensure that no action is taken when it isn't supposed to, and every action that is supposed to happen, does.
Comprehensive testing and trials were conducted in collaboration with Rosborough Boats, leveraging their expertise and advanced surface vessels to ensure rigorous evaluation and validation of Deep Vision's technology in real-world maritime conditions.