FactoryLensAI
Technology

Powered by Accelerated Vision AI

An edge-to-cloud architecture engineered for low-latency inference, model optimization, and synthetic data generation — built to keep detection fast at the edge and analytics rich in the cloud.

GPU-Accelerated InferenceVideo Analytics PipelineModel OptimizationFP16 / INT8 QuantizationEdge RuntimeInference ServerMulti-Camera ScalingSynthetic Data GenerationContinuous Model Training
Architecture

From camera feed to factory intelligence

A production-grade pipeline that keeps inference fast at the edge and analytics rich in the cloud.

Factory Cameras

RTSP / USB / IP

Video Stream

Ingest & decode

Vision Pipeline

GPU-accelerated

Model Optimization

FP16 / INT8

Vision Models

YOLO · RT-DETR · ViT

Inference Engine

Low-latency serving

Detection API

REST / gRPC

Analytics

KPIs & trends

Dashboard

QA & safety

Reports

PDF / CSV

ERP / MES

Integration

Technology Stack

Modern, cloud-native, GPU-accelerated

Frontend
Next.jsReactTailwind CSS
Backend
PythonFastAPINode.js
AI Models
YOLORT-DETRVision TransformerSegmentationOCRAnomaly Detection
Acceleration
GPU AccelerationModel OptimizationFP16 / INT8 QuantizationVideo AnalyticsEdge RuntimeInference Server
Cloud / Infra
AzureAWSKubernetesDockerRedisPostgreSQLObject Storage
Product Roadmap

Shipping now, scaling to the edge

A clear path from a working web demo to autonomous, edge-deployed factory analytics.

Phase 1 · Current

Live
  • Image upload inspection
  • Video upload analysis
  • QA reports
  • Safety reports
  • Cloud dashboard

Phase 2

  • Live RTSP camera streams
  • Real-time alerts
  • Multi-camera monitoring
  • Custom defect training
  • Mobile application

Phase 3

  • Edge AI deployment
  • Predictive maintenance
  • Digital twin integration
  • Autonomous factory analytics
  • ERP / MES integration

Want the technical deep-dive?

We'll walk your team through the architecture, model performance, and deployment options for your environment.