Educational Labs / AI
Artificial Intelligence Lab
A complete AI teaching and research environment — from Edge AI kits to multi-GPU training servers, built on NVIDIA and UBTECH platforms.
Lab Components
Integrated hardware modules for teaching and research
Edge AI Development Kit
reComputer Mini J40 — Jetson Orin NX 16GB
Compact 130×120×58.5 mm Edge AI device delivering up to 100 TOPS. Ships with JetPack 5.1.1, 128 GB NVMe SSD, and NVIDIA Ampere GPU + Deep Learning Accelerators for production-grade inference.
Computer Vision Kit
Embedded ML Development Platform
Full computer-vision development platform for embedded ML. Dual CSI camera lanes, HDMI 2.1 out, and rich expansion for building custom vision pipelines end-to-end.
Vision Kit — Drag & Drop
Robot Vision Studio
Industrial-grade machine-vision platform compatible with robotic arms. Five core recognition algorithms and drag-and-drop programming through Robot Vision Studio.
High-Performance AI Server
4× NVIDIA RTX A6000 — NVLinked
Centralised training station: dual-socket 40 cores, 256 GB DDR5, and 4× NVIDIA RTX A6000 with 48 GB VRAM each, NVLinked. Housed in a 2U chassis with redundant PSU.
Intelligent Video Analytics Kit
reComputer J4011 / J4012
Cloud-native intelligent video analytics with Jetson Orin NX. Runs NVIDIA DeepStream SDK and TAO Toolkit for real-time multi-stream analytics.
AI Visual Recognition Trainer
WOW-2014
End-to-end AI classroom trainer: from data collection through inference. Runs fully offline with TensorFlow support for advanced courses.
Jetson AGX Orin 32GB H01 Kit
NVIDIA Jetson AGX Orin
Highest-performance Edge AI in the lab — up to 200 TOPS, 10× the performance of Jetson Xavier NX. Supports up to 6 cameras across 16-lane MIPI CSI-2.
UBTECH AI Box
AI Box — NVIDIA Jetson Nano
Turnkey AI teaching box built for the classroom — pre-configured with machine learning, deep learning, computer vision, and intelligent voice curricula.
Use Cases
Real-world applications
Smart Security & Surveillance
Face detection, motion tracking and real-time behaviour analytics using computer vision.
Smart Cities
Traffic monitoring, congestion management, and urban data analytics via Edge AI devices.
Industrial Automation
Visual quality inspection and computer-vision integration with industrial robotic arms.
Medical Imaging
Medical image analysis and diagnostic decision support with AI models.
Learning Outcomes
What students will master
Build and train Machine & Deep Learning models from scratch
Apply Computer Vision algorithms (classification, detection, tracking)
Deploy AI models on resource-constrained Edge devices
Master NVIDIA JetPack SDK with TensorFlow & PyTorch
Design intelligent video analytics pipelines
Operate an integrated AI infrastructure from Edge to Server
Investment Tiers
Choose the configuration that fits your programme
Tailor your lab components to match your educational programme needs.
Basic
- ✓Edge AI Development Kit ×2
- ✓Computer Vision Kit
- ✓Foundational curriculum
Standard
- ✓All Basic components
- ✓AI Visual Recognition Trainer
- ✓Jetson AGX Orin 32GB
- ✓Faculty enablement program
Premium
- ✓All Standard components
- ✓High-Performance AI Server
- ✓UBTECH AI Box
- ✓Annual maintenance & support
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