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emza

Visual Sense

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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.

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Ultra-Low
Power

Tiny

Size

Very

Affordable

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The AI Industry Challenge

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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.

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Emza's WiseEye® Solution

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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.

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Our Applications

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Image by XPS

Notebook

Intelligent sensing while improving battery life, privacy & security

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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

  • Extremely efficient ML algorithm

  • <1MB memory footprint

  • Minimal computing power

  • Flexibly trained algorithm

  • Efficient processing of low-res images

  • Human detection and other classifiers

IoT SOC

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

CMOS Sensor

  • Ultra-low power CMOS sensor

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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.

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Meet The Team

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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.

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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.

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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.

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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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For any general inquiries, please fill in the following contact form:

 
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Contact Us

Floor #30, HaShachar Tower Ariel Sharon St. 4

Giv'atayim, ISRAEL  (Box 52)

 

Email: info@emza-vs.com
Tel:  +972-3-6830855

Fax:  +972-3-7443429

Click Here to Find Us

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