If you are an autonomous vehicle manufacturer dealing with sensors that fail in fog or heavy rain — this project developed a wide-spectrum sensor that captures NIR and SWIR light. This ensures reliability under adverse weather conditions for safer navigation.
Eco-friendly, ultra-low power image sensors for advanced machine vision and autonomous systems
Imagine a camera that can see through thick fog or pitch-black darkness without draining your battery. Instead of using toxic heavy metals, it uses a special 'quantum dot' coating that acts like a super-filter for light. This allows machines to see a much wider range of colors and infrared light while using almost no power.
What needed solving
Current image sensors are too power-hungry for wearable tech and cannot see through fog or low light. Additionally, many high-performance sensors rely on toxic heavy metals, limiting their mass-market adoption.
What was built
A lead-free colloidal quantum dot (CQD) stack and two beta prototype evaluation kits (EVKs) compatible with CMOS platforms.
Who needs this
Who can put this to work
If you are an XR headset developer dealing with high power drain and bulky batteries — this project developed a pixel engine with a >1,000x decrease in power consumption. This allows for lighter devices with longer battery life.
If you are a service robot integrator dealing with toxic material regulations and poor low-light visibility — this project developed heavy-metal-free sensors. These provide high sensitivity across a wide spectrum without using lead.
Quick answers
How does this impact the cost of production?
Based on available project data, the technology aims to deliver unprecedented cost performance for mass-market applications by utilizing CMOS compatibility.
Is this technology ready for industrial scale?
The project reached TRL 5 and validated the process modules as compatible with multiple CMOS platforms, indicating a path toward mass-market manufacturing.
What is the IP or licensing status?
Based on available project data, the technology includes a first-of-its-kind lead-free photodetector published in Nature Photonics, suggesting strong intellectual property foundations.
How does it integrate with existing hardware?
The sensors are designed to integrate with standard CMOS technology, making them compatible with existing semiconductor fabrication platforms.
What is the timeline for market entry?
The project period ends on 2025-09-30, with beta prototype evaluation kits already delivered for customer testing.
Who built it
The project is led by a single Spanish SME, Qurv Technologies SL, which maintains 100% industry representation. This lean structure suggests a highly focused commercial drive, evidenced by the delivery of beta kits and the acquisition of 7 Letters of Intent without the need for academic partners in the consortium.
Contact QURV TECHNOLOGIES SL for Early Adopters Program details
Talk to the team behind this work.
Request technical specifications for the lead-free CQD stack