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$6,627
pledged of $20,000pledged of $20,000 goal
27
backers
Funding Canceled
Funding for this project was canceled by the project creator on Nov 22 2018
Deep CognitionBy Deep Cognition
First created
Deep CognitionBy Deep Cognition
First created
$6,627
pledged of $20,000pledged of $20,000 goal
27
backers
Funding Canceled
Funding for this project was canceled by the project creator on Nov 22 2018

About

TensorCam is a next generation camera with embedded AI chip (Rockchip RK3399Pro) so you can develop and deploy computer vision applications fast. Built-in AI chip delivers upto 2.4 TOPs of compute performance for deep learning.

TensorCam is for you if you are:

  • An University/College Student Learning Deep Learning
  • A Teacher teaching Deep Learning to Students
  • A Maker building Robotic Projects with Computer Vision
  • A Startup Prototyping Comercial AI Application like Stock tracking
  • A Enthusiast or Hacker interested in building an AI project

Why Choose TensorCam?

  •  2.4 TOPS compute power than anything else in the market
  •  Integrated PTZ camera with software controllable Pan, Tilt and Zoom functions
  • Supported by Deep Cognition development platform and tools 

TensorCam’s built-in Rockchip RK3399Pro chip has superior performance:

  • Built-in NLP technology, which will allow you to develop custom language based notifications. These notifications will be delivered through smart home devices like Alexa. 
  • Built-in state of the art deep learning chip, which will allow you to run deep learning models at a whopping 2.4 Terra-OPS computing performance.
  • Its tight integration with Deep Learning Studio (DLS) makes it highly flexible and customizable, which will allow you to run your own deep learning models in a matter of hours.

Here are some of its features:

You can get started by using the TensorCam sample projects, which cover some of the most popular computer vision use cases. As your skills and ideas develop, you can build custom deep learning models using Deep Learning Studio's cloud or desktop version. As a developer, here are some of the examples that you would be able to build and deploy on TensorCam with minimal or no-coding:  

With Deep Learning Studio (DLS), you can choose from a simple but powerful GUI where you can drag and drop neural networks and create Deep Learning models with AutoML, to a full autonomous IDE where you can code and interact with your favorite libraries. DLS simplifies and accelerates the process of working with deep learning across popular frameworks such as TensorFlow and MXNet. You will be able to push your deep learning models from Deep Learning Studio to TensorCam. Moreover, TensorCam will come with full software SDK. 

Alexa Integrated
Alexa Integrated
Capturing Unique Family Memories
Capturing Unique Family Memories
Shelf Inventory Monitoring
Shelf Inventory Monitoring
Footfall Counter
Footfall Counter
Security
Security
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Google and Amazon are registered trademarks of Google, Inc. and Amazon.com, Inc. respectively.

We have recently partnered with Khadas which specializes in developing and manufacturing the Rockchip single board computers (SBCs). Khadas is working heavily on Edge-1S RK3399Pro which will be used in TensorCam as the built-in AI board. 

Edge-1S is ideally suited for artificial intelligence applications and we are excited to announce that we are now offering the 'Edge-1S Deep Cognition Edition' for the developers who are interested in just the AI-board. With the built-in support of powerful Deep Learning Studio (DLS), you can create AI applications using Edge-1s.

  • Onboard 2.4 TOPs (upto 3.0) neural processing unit (NPU), 800Mhz frequency.
  • 2GB LPDDR3 NPU-RAM for computing a large collection of ML models.
  • Interface with up to 2 external cameras via MIPI-CSI.
  • Supports Tensorflow, Caffe, Keras and Deep Learning Studio.

At Deep Cognition, we aim to empower all developers with powerful deep learning technology. Earlier, our team of highly motivated engineers and designers built Deep Learning Studio Software to simplify the development and deployment of deep learning models for all type of developers including beginners.

And this time our team worked tirelessly to bring TensorCam to reality. Now we’ve lined up the best suppliers and manufacturers we could find for TensorCam. With your support, we can together bring TensorCam in the market and in your hands. Please support us by pledging for TensorCam and share it with your fellow developers.

Risks and challenges

We anticipate the on-time delivery for TensorCam in March 2019. We’re wrapping up the product development phase for the main features, but we’d still like to hear great ideas to implement from the Kickstarter backers, about some extra features which we can include (as long as it doesn’t impact the delivery date). We’ve found reliable manufacturing partners for the camera and AI-board, but even with the best manufacturing processes setup, unexpected hiccups can happen. Logistics issues are also being solved to ensure smooth delivery for when we’ve exceeded our goal.

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    Pledge US$ 1 or more About US$ 1.00

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    Pledge US$ 199 or more About US$ 199

    Edge 1S RK3399PRO Deep Cognition Edition

    Just the AI Board without the Camera

    Includes:
    • Edge-1S Pro (RK3399Pro SoC)
    • Heatsink
    • Edge-IO (GPIO Pin-Outs)
    • Deep Learning Studio Support
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    Super Early Bird Special

    Save $100 on TensorCam's MSRP of $349.

    Includes:
    • Free USA Shipping
    • TensorCam 2 MP Camera
    • Powered by Rockchip RK3399pro
    • Power Adapter
    • Ethernet Cable
    • Screw Mount
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    Early Bird Special

    Save $90 on TensorCam's MSRP of $349.

    Includes:
    • Free USA Shipping
    • TensorCam 2 MP Camera
    • Powered by Rockchip RK3399pro
    • Power Adapter
    • Ethernet Cable
    • Screw Mount
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    Pledge US$ 299 or more About US$ 299

    Kickstarter Special

    Save $50 on TensorCam's MSRP of $349.

    Includes:
    • Free USA Shipping
    • TensorCam 2 MP Camera
    • Powered by Rockchip RK3399pro
    • Power Adapter
    • Ethernet Cable
    • Screw Mount
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Funding period

- (30 days)