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HMGCC Co-Creation and Dstl are seeking an edge device that processes video and audio from off-the-shelf smart glasses and stitches frames into high-fidelity 3D maps for reconnaissance. The minimum deliverable is a TRL 4 proof of concept. AI, computer vision and machine learning are listed technology themes, for example algorithms that compensate for head movement while stitching frames.
Essential requirements are a report on where smart-glasses data flows and who can access it, good daytime urban imagery, and a camera-based 3D map. Desirable features include low-light imaging, audio fusion, testing across several manufacturers and a three-year manufacturer roadmap, and the stretch goal is fusing audio and visual data to handle reflections and solid walls.
Redesigning or physically modifying the glasses is out of scope, and data handling must comply with GDPR and manufacturer terms. The total budget is up to £60,000, about US$80,000, excluding VAT, with on average two providers funded for a 12-week project. Questions are due 29 October, pitch day is 25 November, and kick-off is targeted for January 2027.
Applications close on 12 November 2026 at 17:00 UK time.
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Or search similar grants →According to the current listing, eligibility includes: Sole innovators, businesses and academic or research organisations of any size; security clearance is not required. Applicants from countries under UK trade sanctions or arms embargo are excluded. Confirm the full requirements in the official notice before applying.
The current listing shows up to £60,000 (about US$80,000) excluding VAT in total, with on average two providers funded. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for HMGCC and Dstl Co-Creation Challenge for Smart Glasses Edge Processing Using AI and Computer Vision to Build 3D Maps for Reconnaissance are due November 12, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
HMGCC and Dstl Co-Creation Challenge for Smart Glasses Edge Processing Using AI and Computer Vision to Build 3D Maps for Reconnaissance is funded by HMGCC (His Majesty's Government Communications Centre) Co-Creation programme with the Defence Science and Technology Laboratory (Dstl), UK. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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