Quantum Dots Image Sensing
Our ground-breaking INFIQ™ quantum dot technology enable image sensors to detect an ultra-wide range of wavelengths from visible, near-infrared and beyond. INFIQ QD sensors will be smaller, more cost effective and significantly more efficient.
Enabling sensors to see beyond the visible
Robotic cars, 3D Time-of-Flight, machine vision and alternate reality technologies are some of the hyper growth markets in which sensors are required to accurately detect distance, depth and defects.
INFIQ™ technology allows CMOS sensors to detect a substantially wider range of wavelengths into the visible, near-infrared, infrared and beyond. These QD sensors will detect details accurately even in the most extreme lighting conditions at the highest resolution while being small, cost effective and energy efficient.
See through vision in low visibility conditions such as in fog, snow or storms
Accurate image capture even in extreme low light conditions and true high dynamic range (HDR)
How can we improve low-light performance of smartphone cameras? Make AR more realistic? Or facial recognition systems more accurate at detecting indiviuals? These are just some of the issues facing technological innovators in the consumer electronics arena.
Integrating INFIQ™ technology into existing CMOS sensors will allow them to see and detect beyond visible light, dramatically improving low-light photography in smartphone cameras, accuracy in fingerprint and facial recognition, and providing a more immersive AR experience through precise range finding.
LiDAR is a remote sensing system that uses lasers to measure distance of the surrounding environment in self-driving vehicles. To ensure the system works correctly in averting potential danger on the road such as pedestrians and other vehicles, the sensors must be able to detect precisely and accurately in all conditions. Here, the wavelength of the laser is an important factor to consider: the visible wavelengths of light cannot be used because it would receive too much interference from daylight or other light sources and it will encounter huge difficulties in low visibility conditions.
As such, system makers are using near-infrared (NIR) and shortwave infrared (SWIR) vision because it can operate in low visibility conditions with minimal interference from ambient light. However, current NIR and SWIR sensors are extremely complex to manufacture, making them expensive and bulky and unsuited for large scale production.
INFIQ™ technology allows cameras to see into the near-infrared (NIR) and shortwave infrared (SWIR) wavelengths allowing cameras to work even in extreme low visibility conditions including the ability to operate in heavy fog or during the night while maintaining high image quality. Such features also allow innovations in security systems to accurately identify individuals in high security situations.
Cameras equipped with INFIQ™ technology combined with artificial intelligence will transform quality management systems in manufacturing and sorting facilities. The cameras operate in the near-infrared (NIR) and shortwave infrared (SWIR) wavelengths allowing them to pinpoint defects in silicon wafer, observe fill levels in opaque bottles and bruising in fruits.