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WE HAVE FINANCE OPTIONS & MULTIPLE PAYMENT METHODS FOR YOUR NEEDS. PLEASE VISIT CATEGORIES FOR YOUR REQUIREMENTS. ALL MAJOR CARDS ARE EXCEPTED.
IoT & AI
Colleges benefit from the Modernisation and Removal of Obsolescence (MODROB) initiative, which aims to update their infrastructure. Universities receive support from the Rastriya Uchchatar Shiksha Abhiyan, a centrally sponsored program (RUSA), for infrastructure enhancement. Additionally, there are numerous programs sponsored by both the Central and State governments dedicated to the Infrastructure Development Programme in colleges and universities. These initiatives are designed to modernize educational facilities and ensure they are equipped to provide quality education and research opportunities.
APPLICATIONS
APPLICATIONS
Existing Projects :
Hardware Labs for Colleges under the AICTE MODROB Scheme
Hardware Labs for Universities under the RUSA Scheme.
FOR UNIVERSITIES AND COLLEGES
Infrastructure for Colleges for the Modernisation and Removal of Obsolescence (MODROB)
Infrastructure for Universities for the Rastriya Uchchatar Shiksha Abhiyan, A Centrally Sponsored Programme (RUSA)
Various other Central and State sponsored programs for Colleges & Universities towards Infrastructure Development Programme
What is the Artificial Intelligence of Things?
AI-powered IoT applications, dubbed, AIoT or the Artificial Intelligence of Things, represent a broad range of applications that leverage both artificial intelligence and the internet of things (IoT).
Before we dig into what that all means, let’s quickly establish the role each plays, as it will help paint a clearer picture of the symbiotic relationship between the two technologies.
Internet of Things. The Internet of Things refers to a system that extends the internet to various objects, sensors, and devices (things) so that they can collect and share data from their environments using other devices or software programs. Essentially, IoT aims to connect machines and objects.
Artificial Intelligence. Artificial Intelligence, or AI, describes a system capable of learning from data or performing tasks typically associated with the intelligence found in humans and animals. AI technologies include machine learning (ML), natural language processing (NLP), voice & face recognition, and deep learning. Put simply, AI brings intelligence to machines and objects.
Together, the two technologies create intelligent, connected systems, where AI functions as “the brain” to IoT’s “body.” IoT devices collect and transmit data from multiple sources–supporting the “learning” process involved in training AI to carry out automations.
AI brings machine-learning and decision-making power to IoT systems, enhancing data management and analysis, and enabling massive productivity gains.
AIoT – The role of Artificial Intelligence in the Internet of Things
Artificial intelligence (AI) and the Industrial Internet of Things (IoT) are two of the hottest buzzwords dominating the “Industry 4.0” conversation.
But–when people discuss the benefits of IoT, they’re often referring to the benefits offered by the artificial intelligence of things (AIoT).
True “digital transformation” comes from that critical combination of AI’s intelligence and IoT’s ability to generate, capture, and store tons of data.
Where do we stand and what is our role ?
By bringing latest technology to customers and helping them to build the basic foundation. Which means by educating the educators for the new generations.
For Universities and Colleges
Colleges Infrastructure for the Modernisation And Removal of Obsolescence under (MODROB SCHEME)
Universities Infrastructure for the Rastriya Uchchatar Shiksha Abhiyan, A Centrally Sponsored Programme under (RUSA SCHEME)
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
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.
Raspberry Pi 4 Model B
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
VISION AI DEVELOPMENT KIT
ELC MS VISION 500
Soc - Qualcomm QCS603
OS - Yocto Linux
Battery - 1550 mAh
Camera - 8 MP /4K UHD
Memory - 4GB LPDDR4x
Built-in Storage - 16GB eMMC
Microphone - 4 Separate
WI-FI - Qualcomm 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
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:
Low latency
Superior robustness
Privacy
Efficient utilization of network bandwidth
Efficient utilization of cloud resources
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
Cloud storage
Cloud processing
Enhanced security
Enhance device provisioning and management
Integrated environment to build, train, validate and deploy AI models on edge devices
Device telemetry and analytics
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