Suppliers United States Deep Vision

	Deep Vision
HQ Location	United States
HQ City	Palo Alto
Year Founded	2015
Company Type	Private
Revenue	< $10m
Employees	< 10
Website	Open website

Deep Vision

HQ Location

United States

HQ City

Palo Alto

Year Founded

2015

Company Type

Private

Revenue

< $10m

Employees

< 10

Website

Open website

Company Description	Pioneered in large data centers, Deep Learning-powered computer vision is now being deployed across a variety of embedded platforms such as drones, robots, IoT smart cameras and cars. These devices require computer vision capabilities that run at the edge, in real-time and enable long battery life. Deep Vision is meeting these needs with a completely new approach to processors and software. Our unique vision-specific processor is faster and more power efficient than GPU and DSP processing for modern computer vision problems. Coupled with a full stack of low power and real time deep learning computer vision software, our system gives small devices like drones, robots, and IOT cameras the ability to have embedded computer vision. Read More
IoT Solutions	Deep Vision has an ultra low power processor that is built from the ground up to run Deep Learning and other computer vision algorithms. Offering 100% programability, our processor can support all computer vision CNNs. We’ve built a full stack of complementary software that enable low power and real time processing. Innovative Architecture High performance, scalable processor architecture that is completely programmable 60x better performance vs. competitors. Deep Learning Support Built specifically to support Deep Learning, CNNs and traditional computer vision algorithms. Software for easy software design and implementation. Low Power Design Hardware and software combine to provide unprecedented power savings without performance loss. Ideal for both embedded power and larger scalable solutions. Read More Log in to view content
Contents

Company Description

Pioneered in large data centers, Deep Learning-powered computer vision is now being deployed across a variety of embedded platforms such as drones, robots, IoT smart cameras and cars. These devices require computer vision capabilities that run at the edge, in real-time and enable long battery life. Deep Vision is meeting these needs with a completely new approach to processors and software.

Our unique vision-specific processor is faster and more power efficient than GPU and DSP processing for modern computer vision problems. Coupled with a full stack of low power and real time deep learning computer vision software, our system gives small devices like drones, robots, and IOT cameras the ability to have embedded computer vision.

IoT Solutions

Deep Vision has an ultra low power processor that is built from the ground up to run Deep Learning and other computer vision algorithms. Offering 100% programability, our processor can support all computer vision CNNs. We’ve built a full stack of complementary software that enable low power and real time processing.

Innovative Architecture
*High performance, scalable processor architecture that is completely programmable
*60x better performance vs. competitors.

Deep Learning Support
*Built specifically to support Deep Learning, CNNs and traditional computer vision algorithms.
*Software for easy software design and implementation.

Low Power Design
*Hardware and software combine to provide unprecedented power savings without performance loss.
*Ideal for both embedded power and larger scalable solutions.

Deep Vision is a provider of Industrial IoT analytics and modeling technologies.

Technologies

Analytics & Modeling

Computer Vision Software

Machine Learning

Use Cases

Computer Vision

Deep Vision’s Technology Stack maps Deep Vision’s participation in the analytics and modeling IoT technology stack.

Application Layer
Functional Applications

Cloud Layer
Platform as a Service

Infrastructure as a Service

Edge Layer
Automation & Control

Processors & Edge Intelligence

Actuators

Sensors

Devices Layer
Robots

Drones

Wearables

Supporting Technologies
Analytics & Modeling

Application Infrastructure & Middleware

Cybersecurity & Privacy

Networks & Connectivity

Technological Capability

None

Minor

Moderate

Strong

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Overview

Deep Vision

IoT Snapshot

Technology Stack

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