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Reading What the Human Eye Would Miss

We're an AI partner building vision systems that classify, detect, and inspect at the speed and scale a factory floor or back office actually needs.

Computer Vision Industrial Inspection and OCR
INDUSTRIAL COMPUTER VISION & OCR

Vision Systems Built for Production Speed

Manual visual inspection doesn't scale. We build computer vision systems trained on real production data to classify and inspect at line speed.

Line-Speed Inspection

Identifies surface defects, dimension flaws, and assembly errors in real time.

High-Accuracy OCR

Extracts structured data from messy handwritten, scanned, and digital paperwork.

Real-Time Object Detection

Locates, counts, and classifies assets across live multi-camera feeds.

Edge & Hardware Ready

Deploys seamlessly onto existing IP cameras, edge gateways, and PLC rigs.

COMPUTER VISION & REAL-TIME EDGE ARCHITECTURE

High-Throughput Video Pipeline, TensorRT Inference & Edge Orchestration

From industrial cameras and RTSP streams to low-latency edge inference, object tracking, and actionable enterprise telemetry.

Layer 01Hardware Accelerated

Stream Acquisition & Video Decoding

Hardware-Accelerated Ingestion Across Industrial Protocols

Captures multi-channel video feeds from industrial IP cameras and drone sensors using dedicated GPU-accelerated video decoding engines.

Protocols & Standards:
RTSP / RTP ProtocolsWebRTC Media StreamsONVIF Camera StandardsSub-Millisecond Ingest Buffers
Core Layer Subsystems
RTSP / WebRTC Stream Ingestors
NVDEC Hardware Decoders
Dynamic Frame Rate Samplers
Color Space Converters (NV12 to RGB)
Deterministic boundary: Zero unvalidated prompts or arbitrary un-sandboxed executions permitted.
Latency Profile30-60 FPS Real-Time Edge Processing
Deployment TargetNVIDIA Jetson / Edge Servers / Private Cloud
Security BoundaryLocal-Only Video Buffering (No Raw Cloud Video)
Scalability Benchmark1,000+ Concurrent Camera Feeds
Ready for production-grade engineering?

Discuss custom pipeline topologies, compliance boundaries, and private deployment options with our senior AI systems architects.

Consult Systems Architect

What We Build

Four ways we put computer vision to work, from a single scanned document to a full production inspection line.

Image Classification

Models sort visual data into categories at a volume no manual review could match.

Image Classification

Object Detection

Systems locate and identify items in real time from live camera feeds.

Object Detection

OCR

We extract text from scanned documents and forms automatically.

OCR

Quality Inspection

Vision systems catch defects on a production line before a product ships.

Quality Inspection

Accurate. Real-Time. Line-Ready.

We build vision systems trained on your real production data, running at the speed a live line or document queue actually needs.

Production Accuracy

Worried a vision model trained in a lab won't hold up on your actual line?

We train models on your real production data and conditions, so accuracy holds up on the floor, not just in a demo.

Real-Time Performance

Concerned detection will be too slow to catch a defect before it ships?

We build vision systems that run at line speed, so a defect or flagged item is caught in the moment, not after the fact.

System Integration

Need this to work with your existing cameras and equipment?

We build on top of the cameras, sensors, and line equipment you already run, not a separate hardware platform.

Frequently asked questions

Everything you need to know about FWC's computer vision and OCR engineering

We train vision models on your real production data and conditions, so classification and defect detection hold up at line speed and volume in a way manual review can't sustain across a full shift.

Yes. We build OCR systems that pull text out of scanned documents and forms automatically, removing the manual data-entry step.

Yes. We build quality inspection systems that run at line speed, catching defects as items move through, rather than flagging them after a batch has already shipped.

Yes. We build vision systems on top of the cameras, sensors, and line equipment already in place, rather than requiring a separate hardware platform.

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