Algocian | Machine Learning

presents

 

Algocian | Artemis - 1
artemis 1

Make every camera in the world smart

Algocian provides state-of-the-art video analytics for security and automotive applications

State of the art image recognition technology

Algocian’s algorithms leverage hundreds of millions of image and video data points to delived 8x better automated detection than industry leaders.

True AI driven person detection

Algocian uses proprietary machine learning algorithms which learn from existing visual data, creating a highly accurate and scalable solution.

Intelligent meta-tagging

Intelligently determining what’s of interest in a scene, our system dramatically improves end-user experience while opening up avenues for future product evolution.

 

Download the Artemis showcase app from the iTunes store

Our new iOS app is a great way to interact with our technology. Use it  in a dynamic environment, such as a street with moving cars and it would pick out and differentiate the people, etc.

From the app you choose between cloud and local computation (where Artemis is running directly on the iOS device).

Algocian | Artemis - 1
artemis 1

Intelligent image recognition in the wild

Key Features  Deployment Options

Plug & play

Artemis 1 works out of the box with any camera feed, digital or analog, in any environment

Accurate and robust

Artemis 1 detects people regardless of camera positioning and environmental conditions, whether indoor or outdoor. This trumps system based on motion detection.

Tiny computation footprint

Algocian’s detection algorithms leverage state-of-the-art machine learning to optimally perform with a minimum of computation resources.

Next generation features

Artemis 1 enables you to include intrusion detection, smart cameras, and 24/7 tagging of video timelines for your end users.

Significant bandwidth savings

Algocian’s detection system reduces bandwidth costs for providers, increasing profitability

Conventional motion detection

A conventional motion detection driven system is unable to discriminate content and context and will capture and retain an excess of false positive clips.

Video timeline: Motion detection

 

Title

10%

 Bandwidth usage (% of total video recorded)

26
Total alarms

Algocian’s intelligent people detection

Artemis 1 only captures what you’re interested in, videos with people present, and reduces bandwidth usage.

Video timeline: Person detection via Artemis-1

 

Title

1%

Bandwidth usage (% of total video recorded)

3
Total alarms
90
Fewer False Alarms

Fewer false alarms means optimal usage of bandwidth and computational resources, that ultimately translates into increased scalability and positive customer experience.

Algocian | Artemis - 1

The future of automatic person detection in the smart home

Artemis 1 provides fast, reliable detection, designed for the internet of things

artemis 1 in two flavours

Cloud deployment   Embedded technology

Solutions from the Cloud

Access our technology as a cloud-based service – processing and meta-tagging occurs in real-time on our servers

Faster than real-time analysis

Artemis 1’s tiny computation footprint enables image tagging faster than real-time. Your 30 second motion clips will be processed in under 5 seconds.

Scalable architecture

Artemis 1 is available as a cloud deployment than can scale to handle millions of camera feeds across multiple regions.

Simple API

Artemis 1 is designed to be easy to integrate into existing pipelines. A simple API will allow you to upload clips and retrieve metadata in minutes.

Hardware embedded solutions

Install Artemis 1 on ARM embedded systems

ARM platforms

Process streams locally on camera or hub endpoints. Artemis 1 will soon be available on NXP’s i.MX platforms.

Real-time analysis

Artemis 1 will run in real-time on a range of ARM platforms to allow you to also save on both outbound and inbound bandwidth.

 

Our team

Karim Ali

Karim Ali

CEO

Karim holds a Ph.D. in Machine Learning from the Swiss Federal Institute for Technology in 2012. From 2012 to 2014, Karim was a Research Fellow at UC Berkeley and Harvard University. Karim also worked several year as a consultant for Accenture and CSEM.

Craig Loverock

Craig Loverock

CFO

Craig is a finance executive with over 20 years of experience providing financial leadership in wide variety of business environments. He has worked with organizations in several industries, with an emphasis on high growth technology companies.

Seamus Hatch

Seamus Hatch

VP Sales and Marketing

Seamus has spent the past 20 years helping software companies scale from small teams of five to teams of several hundreds. He has overseen multiple IPOs for companies, and is focused on taking cutting edge technology to market.

Aye Myaing

Aye Myaing

Senior Software Engineer

Aye has over 15 years of embedded software experience. With experience in the start up world as well as established business he brings product experience and leadership to our technical group.

Robert Blumenthal

Robert Blumenthal

Strategic Business Development

Robert Blumenthal is a veteran telecom executive with more than 25 years experience. Former CEO of Virgin Mobile Canada, CEO of Digit Wireless and Senior Vice-President at TELUS.