Software Platform

Intelligent Software Platform

The brain behind every scanning decision. Real-time optimization algorithms and AI-powered analysis running at the edge.

oem-vision — scan_output.log
> Initializing OEM Vision Scanner v4.2.1 ...
[OK] Camera array calibrated (4x line-scan)
[OK] Laser profiler online (2048 pts/line)
[OK] PLC handshake complete (EtherCAT 1ms)
> Running log #18472 — Spruce, d=34cm
Defects detected: 2 knots, 1 resin pocket
Grade: B+ (confidence 97.3%)
Optimal pattern: 3×"50mm" + 2×"25mm"
Yield estimate: 68.4% (+4.1% vs baseline)
> WoodScan AI model: oak-pine-spruce_v9.pth
Inference time: 12ms | GPU util: 42%
Next calibration: in 847 scans
> Throughput: 22 logs/min — all systems nominal ■

Optisoft

Optimization & Control Platform

Real-time cutting optimization, machine control, and production management in a single unified platform. The control center for your entire scanning operation.

  • Real-Time Optimization

    Calculates optimal cutting patterns based on current product prices and demand in under 200ms.

  • Cutting Pattern Engine

    Advanced mathematical models evaluate thousands of possible patterns to maximize total recovery value.

  • PLC & Machine Control

    Direct integration with setworks, edgers, trimmers via OPC-UA, Modbus, EtherCAT, and Profinet.

  • Production Dashboard

    Real-time KPI tracking, shift reports, yield analysis, and historical trend visualization.

  • Multi-Machine Coordination

    Orchestrate multiple scanners and machines from a single control point with synchronized data flow.

WoodScan AI

AI-Powered Analysis Engine

Deep learning models trained on millions of scans. Automatic defect detection, species classification, and predictive quality analytics that improve with every log.

  • Defect Detection

    Convolutional neural networks identify knots, splits, decay, and other defects with 99.2% accuracy.

  • Species & Grade Classification

    Multi-spectral analysis combined with texture recognition for automatic species and grade identification.

  • Predictive Analytics

    Forecast quality trends, predict maintenance needs, and optimize production scheduling.

  • Self-Learning Calibration

    Models continuously refine themselves with production data for improving accuracy over time.

  • Cloud Model Updates

    Secure over-the-air model improvements pushed to all installations without downtime.

Platform Capabilities

Two complementary products that work together — or independently — to power your sawmill intelligence.

Feature
Optisoft
WoodScan AI
Real-Time Processing
AI-Powered Analysis
—
PLC Machine Control
—
Cloud Connected
Self-Learning Models
—
Multi-Machine Support
Defect Detection
—
Grade Classification
—

System Architecture

Data flows from sensors through processing to optimization and control — all in under 200ms.

Sensors

Laser, camera, and X-ray data acquisition

Edge Processing

FPGA-accelerated signal processing & 3D reconstruction

AI & Optimization

Neural network inference and cutting pattern calculation

Control Output

PLC commands, setworks positions, sorting signals

Integration & APIs

Open APIs and standard industrial protocols for seamless integration with your existing mill systems.

REST API

Full RESTful API for scan data, production metrics, and system configuration.

Webhooks & Events

Real-time event notifications for scan completions, alerts, and production milestones.

Data Export

CSV, JSON, and direct database export for integration with BI and analytics tools.

Developer SDK

Python and C++ SDKs for custom integrations and advanced automation workflows.

api_example.py
import oem_vision

# Connect to the local OEM Vision controller
client = oem_vision.connect("192.168.1.100")

# Get real-time scan results
result = client.get_scan(log_id=18472)

print(result.defects)      # [Knot, Knot, ResinPocket]
print(result.grade)         # Grade.B_PLUS
print(result.yield_percent)  # 68.4

See the Platform Live

Schedule a demonstration of Optisoft and WoodScan AI with your own production data.