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Rambus, Inc. today announced Dartmouth College-based startup Gigajot Technology has licensed Rambus Binary Pixel technology and patents for use in Gigajot’s next-generation image capture solutions. Gigajot’s Quanta Image Sensor (QIS) is a major paradigm shift in solid-state imaging which enables high-speed counting of single photons of light at gigapixel resolution. The new features enabled by QIS and Binary Pixel Technologies can benefit imaging applications such as scientific, automotive, security, defense, encryption, AR/VR, 3D and consumer photography, among others.
Based on the QIS technology developed by the Dartmouth-based research group of Dr. Eric Fossum, inventor of the “camera on a chip” found in billions of smartphones today, Gigajot’s third-generation solid-state imaging technology is sensitive enough to detect a single photon of light at room temperature and enables extremely high pixel densities. Rambus has supported the early work at Dartmouth on the technology. The single photon detection technology with its high sensitivity unlocks new capabilities in low-light photography and videography, scientific and medical imaging, automotive sensing, AR/VR and 3D, without sacrificing resolution or frame rate.
“Traditionally, it has been difficult to achieve acceptable signal-to-noise ratio in low-light situations for quality images,” said Dr. Saleh Masoodian, CEO, Gigajot. “Combining the Rambus Binary Pixel technology with Gigajot’s QIS devices enables development of highly sensitive imaging technology via mainstream commercial CMOS fabrication processes for not only consumer devices such as smartphones, tablets and cameras, but also for more high-end commercial pursuits such as scientific, medical, security and surveillance sensors and cameras.”
Rambus Binary Pixel technology combines a breakthrough imager and processor architecture to enable professional quality images and video from small form factor imagers for compact solutions. The technology mimics the brilliance of human visual processing by sensing photons using discrete thresholds to avoid pixel saturation and enable better light sensitivity. Binary Pixel also employs special oversampling methods, which subdivide pixels, exposure and digitization to capture more data and extend the dynamic range of the imager.
“Rambus Binary Pixel technology enables improved performance for small, compact image sensors, allowing unprecedented image quality for consumer devices,” said Laura Stark, SVP and general manager, Emerging Solutions of Rambus. “Combining the Gigajot and Rambus cutting-edge imaging technologies will dramatically improve the image capture experience for the next generation of consumers and professionals.”
About Rambus Emerging Solutions Division
Inspired by the innovative thinking at the heart of Rambus Labs, the Emerging Solutions division at Rambus works to translate extraordinary theory into everyday practice, imagining exciting new ways to interpret and reimagine the world of data around us.
About Rambus, Inc.
Dedicated to making data faster and safer, Rambus (rambus.com) creates innovative hardware, software and services that drive technology advancements from the data center to the mobile edge. Our architecture licenses, IP cores, chips, software, and services span memory and interfaces, security, and emerging technologies to positively impact the modern world. We collaborate with the industry, partnering with leading chip and system designers, foundries, and service providers. Integrated into tens of billions of devices and systems, our products power and secure diverse applications, including Big Data, Internet of Things (IoT) security, mobile payments, and smart ticketing.
About Gigajot Technology, LLC
Gigajot (gigajot.tech) is developing the next generation of image sensors where single photon counting is used to unlock new image capture capabilities for consumers and professionals not possible with today’s devices. The company was founded in 2017 by CEO Dr. Saleh Masoodian, CTO Dr. Jiaju Ma and Dr. Eric Fossum. At Gigajot, every photon counts.
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