PxE Computational Imaging 🤳 Information

PxE ('pic-see') has developed a new approach to digital imaging. Holographic encoding allows for HD depth perception, low-light color, deblurr and several additional applications. CMOS sensors are ubiquitous, but often not sufficient for advanced sensing applications. CMOS based optical sensors are now used in a vast array of imaging applications. As CMOS is a semiconductor technology, the pixels on the sensors continue to shrink in size and grow in quantity. As sensing quality has increased imaging capabilities have increased dramatically and CMOSs now provide a relatively inexpensive solution to a host of today’s key challenges. Several enormous markets such as AR/VR, high-quality digital photography, depth sensing, hyperspectral sensing, low-light vision, security/surveillance, biometric ID, inspection, robot navigation, vehicular ADAS, microscopy and others already rely on CMOS sensing. In general today CMOS sensors are used to mimic the analog cameras of old, sensing the intensity of light. As a result the CMOS is usually deployed as part of a system of sensors. This ensures that each use-case has access to the broader data set that that the application requires. Some applications such as depth/distance sensing typically require two CMOS sensors, other applications such as Face ID only reach their full potential when additional, often active projection systems and sensors are added. As a result such systems are often complex, bulky, energy hungry and expensive. PxE’s technology, a hardware-enabled-software solution, can transform the limited CMOS sensing paradigm allowing for extraordinary results from a simple, small, lean and low cost sensor. PxE Computational Imaging has developed a revolutionary approach to getting more and better data out of CMOS sensors. By adding PxE’s simple, passive, low-cost, diffractive mask element immediately above the CMOS. PxE’s technology – allows the CMOS to detect more and better information than just the image