SHOP FOR
http://base-store.storehippo.com/
# 2514/U, 7th 'A' Main Road, Opp. to BBMP Swimming Pool, Hampinagar, Vijayanagar 2nd Stage. 560104 Bangalore IN
Tenettech E-Store
# 2514/U, 7th 'A' Main Road, Opp. to BBMP Swimming Pool, Hampinagar, Vijayanagar 2nd Stage. Bangalore, IN
+918023404924 https://www.tenettech.com/s/59c9e4669bd3e7c70c5f5e6c/ms.settings/5256837ccc4abf1d39000001/59dafe26aef6e1d20402c4c3-480x480.png" [email protected]
5d788ec7361efa7c3e296abf Horned Sungem AI Vision Kit, USB Connectivity, Plug-and-AI https://www.tenettech.com/s/59c9e4669bd3e7c70c5f5e6c/ms.products/5d788ec7361efa7c3e296abf/images/5d788ec7361efa7c3e296ac3/5d788e699c9a0b0c146a1288/5d788e699c9a0b0c146a1288.webp

Description:

With Plug and AI in mind, Horned Sungem (HS) is dedicated to be the simplest and wieldiest AI device to allow all developers, students, AI hobbyist and enthusiasts to create their own AI applications with ease. Without any dependency on deep learning frameworks or complex libraries, your device will be ready to see and understand the world after you plug Horned Sungem into the USB port and run a short installation script.

Applications:

Using a unique and integrated front-end design, Horned Sungem is able to analyse and detect objects, faces, etc. from the captured images, in real-time.

Horned Sungem packages complex development processes like neural network training, thus eliminates your cost of learning AI technology, makes it pleasure to DIY creative AI applications such as intelligent cameras, smart robots, and so on.

Features:

  • Integrates Intel Movidius MA245X convolutional neural network accelerator, small form factor, low power consumption, high performance
  • USB Type-C connector, supports USB 3.0, plug-and-play, easy to use
  • Supports Raspberry Pi or PC (when working with Raspberry Pi, a USB HUB with external power supply is suggested to avoiding power issue)
  • Supports most platforms such as Linux (Ubuntu/Raspbian), Android, Windows (to be released soon), MacOS, etc.
  • Supports AI models such as GoogleNet, MobileNet, SSD, Tiny YoloV1, Tiny YoloV2, etc.
  • Supports neural network frameworks such as Tensorflow, Caffe, Darknet, etc.
  • Provides SDK download and Quick Start tutorial
TT-WSB-15394
in stockINR 15928.82
WAVESHARE
1 1
Horned Sungem AI Vision Kit, USB Connectivity, Plug-and-AI

Horned Sungem AI Vision Kit, USB Connectivity, Plug-and-AI

Sku: TT-WSB-15394
₹15,928.82


Sold By: tenettech
Features
  • Shipping in 10-12 Working days
  • http://cdn.storehippo.com/s/59c9e4669bd3e7c70c5f5e6c/ms.products/5d788ec7361efa7c3e296abf/images/5d788ec7361efa7c3e296ac0/5d788e5f60402b0c16093cac/5d788e5f60402b0c16093cac.jpg

Description of product

Description:

With Plug and AI in mind, Horned Sungem (HS) is dedicated to be the simplest and wieldiest AI device to allow all developers, students, AI hobbyist and enthusiasts to create their own AI applications with ease. Without any dependency on deep learning frameworks or complex libraries, your device will be ready to see and understand the world after you plug Horned Sungem into the USB port and run a short installation script.

Applications:

Using a unique and integrated front-end design, Horned Sungem is able to analyse and detect objects, faces, etc. from the captured images, in real-time.

Horned Sungem packages complex development processes like neural network training, thus eliminates your cost of learning AI technology, makes it pleasure to DIY creative AI applications such as intelligent cameras, smart robots, and so on.

Features:

  • Integrates Intel Movidius MA245X convolutional neural network accelerator, small form factor, low power consumption, high performance
  • USB Type-C connector, supports USB 3.0, plug-and-play, easy to use
  • Supports Raspberry Pi or PC (when working with Raspberry Pi, a USB HUB with external power supply is suggested to avoiding power issue)
  • Supports most platforms such as Linux (Ubuntu/Raspbian), Android, Windows (to be released soon), MacOS, etc.
  • Supports AI models such as GoogleNet, MobileNet, SSD, Tiny YoloV1, Tiny YoloV2, etc.
  • Supports neural network frameworks such as Tensorflow, Caffe, Darknet, etc.
  • Provides SDK download and Quick Start tutorial