emza
Visual Sense
Our Vision
The Eye in AI
Designing affordable ultra-low powered AI visual sensors for everyday devices to make life in our connected world, more convenient, more secure, and more energy-efficient.
Ultra-Low
Power
Tiny
Size
Very
Affordable
The AI Industry Challenge
The 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.
Emza's WiseEye® Solution
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.
Our Applications
Notebook
Intelligent sensing while improving battery life, privacy & security
Our Technology
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.
The Emza AI sensor solution is comprised of three elements: optimized Machine Learning computer vision algorithms, a low power CMOS sensor, and a low-power IoT system on a chip (SoC). By tightly integrating these elements, Emza achieves unprecedented results in power consumption, size and solution cost.
CV Algorithms
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Extremely efficient ML algorithm
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<1MB memory footprint
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Minimal computing power
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Flexibly trained algorithm
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Efficient processing of low-res images
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Human detection and other classifiers
IoT SOC
Custom made silicon for Machine Learning edge computing
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<1mW always-on power consumption
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Uniquely designed for cost-power efficiency
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Computer Vision hardware accelerators
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Unique IoT features
CMOS Sensor
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Ultra-low power CMOS sensor
About Us
Emza Visual Sense Ltd. designs, develops, manufactures, and markets always-on, ultra-low-power, AI-based visual edge solutions for use in various applications, including smart home/building, consumer electronics, automotive and more. Our revolutionary WiseEye® platform integrates unique trainable machine-learning algorithms with a specialized CMOS sensor and an AI SOC processor and sits at the edge of the cloud to optimize data and bandwidth usage, maximize privacy and minimize latency and computing/storage costs.
Meet The Team
Yoram
Zylberberg
CEO
Before joining Emza in 2016, Yoram was GM of the $1B Mobile Business Unit at SanDisk and has served in SVP/VP roles in Marketing and Business Development at M-Systems, Verint, and others. He holds a BSc in Electrical Engineering and an MBA from Tel Aviv University.
Elad
Baram
VP Products
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.
Tomer
Kimhi
VP R&D
Tomer joined Emza in 2017 after serving as the VP of R&D at Mantis vision, a 3D imaging company. As a Development Project Manager at Elbit Systems, Tomer managed multidisciplinary groups in electro-optic systems. He has a BSc in Physics and Electrical Engineering from the Technion.
Dr. Tal
Hendel
Head of Algo Development
Before joining Emza, Tal was a Biomedical Engineering faculty member at the Technion, where he was a researcher in Human 3D Vision. Tal holds a BSc in Physics and Computer Science from Tel Aviv University and an MSc and a PhD from the Technion.
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Contact Us
Floor #30, HaShachar Tower Ariel Sharon St. 4
Giv'atayim, ISRAEL (Box 52)
Email: [email protected]
Tel: +972-3-6830855
Fax: +972-3-7443429