Platform Architecture

VisionEx is built on a three-tier architecture that seamlessly integrates edge computing, on-premise processing, and cloud connectivity. This design ensures optimal performance, data sovereignty, and scalability for industrial environments.

Factory Floor Vision Pod 1 Vision Pod 2 Vision Pod 3 Robot Arm Conveyor Edge Processing Layer AI Server Vision OS Runtime Cloud & Management Layer Vision OS Dashboard Analytics Engine AI Model Training Integration Hub 5G Network

Select a component to learn more

Click on any component in the diagram above to see detailed information about how it works within the VisionEx architecture.

Data Flow & Processing Pipeline

High-Resolution Image Capture

Vision Pods continuously capture high-resolution images using industrial-grade sensors. The IP67-rated housing ensures reliable operation in harsh environments.

Resolution: High-definition imaging
Frame Rate: High-speed capture
Latency: Low-latency processing

Real-Time Edge Processing

Onboard ARM Cortex-A78 processors with dedicated NPU accelerators perform initial image preprocessing, filtering, and basic AI inference directly on the Vision Pod.

Parallel Processing

Multi-core ARM architecture with dedicated AI acceleration

Image Enhancement

Real-time noise reduction and contrast optimization

Data Compression

Intelligent compression to optimize network bandwidth

Advanced AI Inference

The AI Server runs sophisticated deep learning models for object detection, classification, and analysis. Models are optimized for industrial use cases and can be updated over-the-air.

Computer Vision

  • Object detection and tracking
  • Defect identification
  • Dimensional measurement

Pattern Recognition

  • Barcode and QR code reading
  • OCR text recognition
  • Logo and symbol detection

Predictive Analytics

  • Anomaly detection
  • Wear pattern analysis
  • Failure prediction

Real-Time Control & Feedback

Processed data is instantly transmitted to industrial systems via standard protocols. Real-time feedback enables immediate corrective actions and process optimization.

Robotic Control

Precise coordinate transfer for pick-and-place operations

< 1ms latency

Alert Systems

Instant notifications for quality issues or anomalies

Real-time

Data Logging

Comprehensive data storage for analytics and compliance

Continuous

5G-Native Network Architecture

Edge Devices

Vision Pods
IoT Sensors
Controllers
5G URLLC

Edge Computing

AI Server
Local Processing < 1ms Latency
Edge Gateway
Protocol Translation Security Layer
Fiber/Ethernet

Cloud Services

Analytics
Data Lake
ML Training

Ultra-Low Latency

5G URLLC enables sub-millisecond communication for real-time industrial control

Private Networks

Isolated 5G networks ensure data security and eliminate interference

Massive Scale

Connect thousands of devices with guaranteed quality of service

Seamless Handover

Automatic failover between 5G, WiFi, and wired connections

VisionEx Product Family

Industrial-grade hardware designed for demanding manufacturing environments

Vision Pod Pro Industrial AI Camera 4K • 120 FPS • IP67 • 5G Ready

Vision Pod Pro

Industrial-grade AI camera with edge processing capabilities

  • 4K Sony CMOS Sensor
  • ARM Cortex-A78 + NPU
  • IP67 Rated Housing
  • 5G + WiFi 6 Connectivity
VisionEx AI Server Edge Computing Platform Multi-GPU • High-Performance Computing • AI Acceleration

AI Server Rack

High-performance edge computing platform for real-time AI inference

  • Enterprise-grade CPU
  • Multi-GPU Processing
  • High-speed Storage
  • Enterprise Networking
OPC MQTT HTTP TCP Integration Hub Protocol Gateway OPC-UA • MQTT • Modbus • Ethernet/IP

Integration Hub

Universal protocol gateway connecting VisionEx to existing industrial systems

  • Multi-Protocol Support
  • Secure Communication
  • Plug & Play Setup
  • Real-time Translation

Technical Specifications

Vision Pod

Image Sensor Sony IMX678 CMOS
Resolution 12MP (4000x3000)
Frame Rate 120 FPS @ 1080p
Processor ARM Cortex-A78 + NPU
AI Performance 5.5 TOPS
Storage Industrial-grade storage
Connectivity 5G, WiFi 6, Ethernet
Power 12-24V DC, PoE+
Protection IP67 rated

AI Server

CPU Enterprise-grade Processor
GPU Multi-GPU AI Accelerators
Memory High-capacity System Memory
Storage 4TB NVMe SSD
AI Performance 320 TOPS
Cameras Support Up to 64 Vision Pods
Network 10GbE, 5G Backhaul
Power 1600W Redundant PSU
Form Factor 2U Rackmount

Network Performance

5G Latency < 1ms (URLLC)
Bandwidth Up to 10 Gbps
Reliability 99.9999% uptime
Range 500m indoor coverage
Device Density 1M devices/km²
Security 256-bit AES encryption
Protocols TCP/IP, MQTT, OPC-UA
Redundancy Multi-path failover
Edge Processing Sub-5ms inference