Imaging sensors for next-generation computer vision
Ultra-compact cameras for materials detection and analysis
Extracting more data from light
From industrial monitoring, to autonomous vehicles, to medical diagnostics, computer vision is already revolutionising a range of industries. Materials-aware vision, however, requires data that conventional (RGB) cameras cannot provide - spectral data - but the expense, size and fragility of current spectral camera systems is prohibitive for many spaces.
Founded by four University of Cambridge researchers in optical physics and semiconductor engineering, Prospectral has designed a new approach to spectral imaging and is building a technology to empower companies with dramatically lower-cost, more compact, and less complex cameras for gathering the data required to detect and analyse materials.
Highly scalable; lower-cost
On-chip integration compatible with semiconductor manufacturing processes
Ultra-compact, lightweight
Compatible with smartphone-module scale, drone-, satellite-based systems
Physically robust
No moving parts, precisely aligned, or fragile optical components
Enhanced imaging capabilities for real world applications
Agriculture
Aerial monitoring of crop condition, early disease detection, soil quality
Recycling
Faster and more accurate classification and sorting of plastics and other waste
Mining
Drone-based or handheld materials detection and analysis in remote locations
Autonomous Vehicles
Improved object recognition vs RGB cameras, at video frame-rates
Satelite Monitoring
Low-cost, lightweight cameras for climate monitoring and geospatial analytics
Consumer HealthTech
More accurate spectral classification in an ultra-compact form-factor