APPLIED MACHINE LEARNING & EDGE INFERENCE

AI & Computer Vision —
Where Research Meets Real-World Engineering

Vision systems trained on your data, not a demo.

Deep Domain Research
Lab-to-Industry Deployment
End-to-End Engineered Solutions
Cross-Sector Client Engagement
Research & Capabilities

Frontier Engineering, Purpose-Built for Industry

From a single high-speed camera on an assembly line to multi-camera facility coverage, Lyran Technology & Innovation builds computer vision systems trained on real factory and site conditions — delivering offline low-latency edge inference with zero cloud dependency.

Automated visual quality inspection: scratch, crack, defect, and assembly misalignment detection

Worker safety compliance: real-time hardhat, safety vest, and restricted-zone intrusion monitoring

Edge AI deployment on NVIDIA Jetson hardware for real-time offline low-latency inference

Direct PLC and relay trigger integration to physically kick defective products off high-speed belts

How We Work

From Lab Research to Client Deployment

01
Deep-Domain Lab Research
Our engineers pursue focused, multi-year research within AI & Computer Vision — pushing the boundaries of what's technically achievable.
02
Solution Architecture
Lab findings are translated into engineered system architectures, validated prototypes, and deployable reference designs.
03
Industry Deployment & Integration
Solutions are deployed at client sites — fully integrated, tested, documented, and handed over with ongoing engineering support.
04
Continuous R&D Partnership
We remain engaged as a long-term R&D partner, iterating on solutions as your operational requirements evolve.
Research Disciplines

Core Technical Focus Areas

Targeted specializations driving next-generation engineering across industry, research, and critical infrastructure.

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Quality Control

Automated Defect Detection

Sub-millimeter defect detection at 60+ parts per minute on high-speed industrial conveyor systems.

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Workplace Safety

PPE Compliance Monitoring

Real-time CCTV stream analysis flagging missing safety gear and hazardous perimeter breaches.

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Spatial Analytics

Occupancy & Fleet Vision

Automated license plate recognition (ALPR), vehicle tracking, and warehouse shelf vacancy heatmaps.

Research Infrastructure

Specialized Lab Workstations

Purpose-built research bays equipped with industry-standard instrumentation, enabling our engineers to design, test, and validate complex systems at depth.

Station 01

Optical Inspection Test Conveyor

Industrial Lighting & Cameras

Equipped with Basler GigE industrial cameras, telecentric lenses, and ring LED strobes for shadowless imaging.

Capabilities
  • Basler Ace 5MP GigE Cameras
  • Polarized Ring Strobes
  • Variable-Speed Test Belt
Station 02

Edge AI GPU Training Cluster

Model Fine-Tuning & Quantization

Multi-GPU servers running PyTorch, TensorRT, and OpenCV for dataset annotation and INT8 model quantization.

Capabilities
  • NVIDIA RTX A6000 GPUs
  • TensorRT Optimization
  • Automated Augmentation
Station 03

PLC Signal & Ejection Testbench

Physical Hardware Interlock

Testing rapid optocoupler and relay triggers to actuate pneumatic air nozzles when a defect is detected.

Capabilities
  • Sub-5ms Pneumatic Ejector
  • Siemens S7-1200 PLC Sync
  • Optocoupled I/O Modules
Client Deliverables

What Clients Receive From This Lab

Every engagement with AI & Computer Vision is structured to produce tangible, measurable engineering outcomes — not just research reports.

Fully Engineered System Prototypes
Functional prototypes validated in our lab environment against real-world performance benchmarks, ready for client site testing.
System Architecture & Technical Documentation
Detailed design documents, circuit schematics, software specs, integration guides, and IP-protected technical packages.
On-Site Deployment & Commissioning
Our engineers deploy, integrate, and commission solutions directly at client facilities — from factory floors to field installations.
Long-Term Engineering Support & Iteration
Structured post-deployment support contracts, performance monitoring, and continuous capability upgrades as the technology evolves.
AI & Computer Vision Research Bay
Live Operational Metrics
Active
MODEL ARCHITECTURE YOLOv8 + TensorRT
INFERENCE LATENCY 14.2 ms
DETECTION ACCURACY 99.4%
CAMERA INGESTION 60 FPS

Technology Stack

OpenCV & YOLOv8 NVIDIA Jetson Orin PyTorch & TensorRT GigE Industrial Cameras NVIDIA DeepStream
Engagement Structure

Client Engagement Tiers

We structure our client engagements in progressive phases — from initial feasibility and prototyping through to full-scale deployment and operational support.

Level 01

Image Processing & Classical Computer Vision

Timeline: 40 Hours

Color spaces, thresholding, edge detection (Canny, Sobel), contours, morphological filters, and camera calibration in OpenCV.

Level 02

Deep Learning Object Detection & Segmentation

Timeline: 60 Hours

CNN architectures, YOLOv8 model training, loss functions, mAP evaluation, transfer learning, and dataset labeling.

Level 03

Edge AI Deployment & Real-Time Production Lines

Timeline: 80 Hours

TensorRT quantization, DeepStream video pipelines, RTSP streaming, GPIO/PLC actuation, and industrial deployment.

Instrumentation

Hardware & Software Apparatus

A comprehensive inventory of the precision instruments, development platforms, and software tooling that underpin all AI & Computer Vision research and client deployments.

Instrument / Platform
Domain
Role & Specification
NVIDIA Jetson Orin / AGX Modules
Edge AI Hardware
Embedded AI supercomputers delivering up to 275 TOPS of inference compute for multi-stream vision models.
Basler & FLIR GigE Industrial Cameras
Machine Vision
Global shutter image sensors capturing fast-moving manufacturing parts without rolling shutter distortion.
Telecentric & Micro-Focus Lenses
Optics
Zero-perspective-error optical lenses designed for high-precision dimensional metrology.
Open for Client Engagement

Ready to Deploy AI & Computer Vision Capabilities at Your Organisation?

Whether you're scoping a new R&D initiative, seeking a system integrator, or looking to embed specialist engineering within your operations — our lab team is ready to engage.