RAVIRAJ IT TECHNOSYS PVT LTD ®


IOT & AI

Applications

Existing Projects : 

Hardware Labs for Colleges under the AICTE MODROB Scheme

Hardware Labs for Universities under the RUSA Scheme.

For Universities and Colleges 

Various other Central and State sponsored programs for Colleges & Universities towards Infrastructure Development Programme

Raspberry Pi computers and microcontrollers

Completely upgraded, re-engineered Faster, more powerful

You'll recognise the price along with the basic shape and size, so you can simply drop your new Raspberry Pi into your old projects for an upgrade; and as always, we've kept all our software backwards-compatible, so what you create on a Raspberry Pi 4 will work on any older models you own too. 

upcoming model !! Raspberry-pi-5 !!

WAVESHARE DISPLAY 

10.1" HDMI LCD (B) (with case), 1280 × 800 IPS Display

Raspberry Pi

Supports Raspberry Pi OS, 10-point touch, driver free

Supports Ubuntu / Kali/ WIN10 IoT, single point touch, driver free

Supports Retropie, driver free

Supports all versions of Raspberry Pi

Jetson Nano

Supports Ubuntu, single point touch, driver free

VisionFive2

Supports Debian, single point touch, driver free

PC

Supports Windows 11 / 10 / 8.1 / 8 / 7, 10-point touch, driver free

Smartphone

Huawei, Samsung, OPPO, LG...(wired projection)

Device & System Support

Working With PC * 

10.1inch Capacitive Touch Display, Wide Color Gamut, 1280×800, Optical Bonding Toughened Glass Panel, HDMI/Type-C Display Interface

Working With Raspberry Pi 4B

Working With Raspberry Pi 3B+

Working With PC * 

Working With Jetson Nano

Nvidia Edge Computing (AIoT)

Jetson AGX Orin Developer Kit

The NVIDIA Jetson AGX Orin Developer Kit and all Jetson Orin modules share one System-on-Chip (SoC) architecture.This enables the developer kit to emulate any of the modules and makes it easy for you to start developing your next AI-powered product. 

Jetson Orin Nano Developer Kit

The NVIDIA Jetson Orin Nano Developer Kit sets a new standard for creating entry-level AI-powered robots, smart drones, and intelligent cameras, It also simplifies the process of starting with the Jetson Orin Nano series. 

Deploy Vision AI at the Edge of the Network

Provision edge infrastructure, deploy and manage the lifecycle of AI applications, and monitor your edge fleet.

This Azure IoT Starter kit is a vision AI developer kit for running artificial intelligence models on devices at the intelligent edge. It is a reference design for IoT products like home monitoring cameras, enterprise security cameras and smart home devices with built-in vision AI. 

The Vision AI Development Kit is certified to run with Microsoft Azure IoT, and is built around the Qualcomm Vision Intelligence 300 Platform and includes camera processing software, hardware-accelerated inferencing of AI models, and SDKs for machine learning and computer vision. Developers can use the kit to prototype products in applications like industrial safety, manufacturing, logistics, retail, and home and enterprise security.

Inside the kit, the Microsoft Azure IoT Edge runtime and the Qualcomm Neural Processing SDK for AI make it easy to take models trained in the cloud and run hardware-accelerated inference at the intelligent edge. The kit runs models built using Microsoft Azure Machine Learning (AML). It also runs other Azure services like Azure Stream Analytics, Azure Functions, Azure Cognitive Services and Azure SQL Server for edge analytics and AI processing.

With the Vision AI Development Kit, you can easily combine the Azure Machine Learning service from Microsoft and the edge computing power of the Vision Intelligence Platform from Qualcomm Technologies.

VISION AI DEVELOPMENT KIT

ELC MS VISION 500

Soc - Qualcom QCS603

OS -  Yocto Linux

Battery - 1550 mAh

Camera - 8 MP /4K UHD

Memory - 4GB LPDDR4x 

Built-in Storage - 16GB eMMC

Microphone - 4 Seperate

WI-FI  - Qualcom WCN3980 (1X1)

802.11b/g/n 2.4 +5GHz

In particular, Qualcomm Technologies and Microsoft will be working in parallel to make sure the Snapdragon NPE interoperates with Azure services, so customers and developers can convert their models and deploy them to the Azure IoT Edge running on the Qualcomm Vision Intelligence Platform.

Qualcomm Vision Intelligence Platform + Microsoft Azure bring edge AI solution

Edge AI benefits for the IoT ecosystem

The Vision Intelligence Platform developer kit that includes both hardware and software, helps customers and developers innovate by unlocking the benefits of AI at the edge:



This Azure IoT Starter kit is a vision AI developer kit for running artificial intelligence models on devices at the intelligent edge. It is a reference design for IoT products like home monitoring cameras, enterprise security cameras and smart home devices with built-in vision AI. 

The Vision AI Development Kit is certified to run with Microsoft Azure IoT, and is built around the Qualcomm Vision Intelligence 300 Platform and includes camera processing software, hardware-accelerated inferencing of AI models, and SDKs for machine learning and computer vision. Developers can use the kit to prototype products in applications like industrial safety, manufacturing, logistics, retail, and home and enterprise security.

Inside the kit, the Microsoft Azure IoT Edge runtime and the Qualcomm Neural Processing SDK for AI make it easy to take models trained in the cloud and run hardware-accelerated inference at the intelligent edge. The kit runs models built using Microsoft Azure Machine Learning (AML). It also runs other Azure services like Azure Stream Analytics, Azure Functions, Azure Cognitive Services and Azure SQL Server for edge analytics and AI processing.

With the Vision AI Development Kit, you can easily combine the Azure Machine Learning service from Microsoft and the edge computing power of the Vision Intelligence Platform from Qualcomm Technologies.

Azure benefits for the IoT ecosystem

Azure IoT Edge along with Azure ML will provide services for managing edge devices and allow developers to build ML solutions with access to pretrained models and customization of AI models