The WiseEye® Solution
The Eye in AI
The AI Industry Challenge
The cost, size, and complexity of artificial intelligence (AI) sensor solutions have limited their use with everyday edge or endpoint devices. Most edge AI solutions require fast processors, excess memory capacity, and high camera resolution, making them power-hungry, costly solutions unsuitable for large-scale deployment.
The Emza WiseEye® visual sensor system is precisely designed to deliver an edge AI solution with unparalleled affordability for mass-market use in vision-based edge devices. The solution includes an ultra-low-power CMOS imager, Machine Learning trainable algorithms, and an IoT system-on-a-chip processor that consumes two orders of magnitude less power than its nearest competitor. The ultra-low power consumption, small size, and low cost make the WiseEye® solution uniquely suitable for mass-market products and high-margin applications.
Ultra-low power CMOS sensor
• Extremely efficient ML algorithm
• <1MB memory footprint
• Minimal computing power
• Flexibly trained algorithm
• Efficient processing of low-res images
• Human detection and other classifiers
Custom made silicon for Machine Learning edge computing
• <1mW always-on power consumption
• Uniquely designed for cost-power efficiency
• Computer Vision hardware accelerators
• Unique IoT features
Emza Visual Sense develops and sells edge AI sensors to improve man-machine integration. The company has concluded a commercial agreement with one of the world’s leading computer manufacturers for integrating its AI sensor in a new line of computer notebooks for launch in H2/2021. The company also has completed reference designs with leading smart home original design manufacturers (ODMs) and has delivered proofs-of-concept to a major Tier-1 automotive supplier.
In the beginning...
Emza was founded in June 2007, by three friends: Eitan Ramati, Yossi Givati and Zeev Smilansky. At the time, advanced applications in image processing were mostly academic, and machine learning was practiced by only a few specialists. The market was small and focused on surveillance – systems that evolved from closed-circuit TV applications. These were bulky, expensive, and produced so many false alarms, particularly in outdoor applications, that often they were just ignored.
Our idea was different: let’s bring the intelligence into the camera - a small, inexpensive, battery operated device that includes a low-resolution camera and a low-performance processor, and program it cleverly so it produces real alerts, even when clouds are moving and trees are waving their branches. We did this long before the acronym “AI” was used and edge computing created.
Our inspiration was the little bird, that can find food, build a nest, distinguish friend from foe – all with two tiny eyes and less than half a gram of brain.
We can proudly say today that the original vision of emza is today acknowledged as an industry trend, with our current sensors infinitely tinier and more clever than we had dared to imagine, almost 14 years ago.
Meet The Team
Elad Baram came to Emza from SanDisk, where he managed billion-dollar product lines as Senior Director of Product Management. He has held similar positions in the consumer and automotive markets. He has a BSc in Communication Engineering from Ben-Gurion University of the Negev.