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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 

Our Team

Backed By

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