Production Line Automation

Product

Production Line Automation

AI-powered computer vision for automated monitoring of production lines, conveyors, material flow, object counting, anomaly detection and quality control.

  • Counting and classifying objects on conveyors and production lines
  • Detection of anomalies, foreign bodies and defects in real time
  • Determination of geometric characteristics, color, size and fraction distribution
99%+ High accuracy in stable industrial conditions
CCTV Works with IP cameras and industrial optics
AI Detection, tracking, segmentation and classification
PLC Integration with conveyor and process control systems
Production line automation AI product
Industrial Cameras IP cameras, lighting, protective boxes, global shutter cameras and additional sensors.
Detector & Tracker AI models recognize objects, defects, impurities, product types and track movement.
Configurable Zones Counting lines, areas, object tracking and dwell-time analysis configured in UI.
Conveyor Integration Modbus, PLC / SCADA, MES / ERP and low-level industrial integrations.
Key capabilities

Computer Vision Modules for Production Lines

The system automates manual inspection, reduces dependence on human labor, detects production deviations and helps prevent conveyor failures, defects and unplanned downtime.

Object Counting

Automatic counting of products, items, boxes, parts or material flow on the production line.

Classification

Automatic classification by type, color, shape, size and other product attributes.

Anomaly Detection

Detection of abnormal objects, foreign bodies, impurities and conveyor process deviations.

Measurement

Determination of size, length, diameter, shape and other geometric parameters.

Fraction Analysis

Real-time analysis of material size distribution and granulometric composition.

Real-time Analytics

Dashboards, reports, quality metrics and operational KPIs for data-driven decisions.

Architecture

Platform Architecture

The product connects cameras, sensors, scales, PLC / SCADA, IoT devices and MES / ERP systems into one AI platform for real-time analytics, event scenarios, dashboards and integrations.

Production line automation architecture
Analytics

Production Analytics Dashboard

Monitor total count, good products, rejects, product flow, defect trend, top classes and top defect types in a single operational dashboard.

Production line analytics dashboard
Use cases

Use Cases Across Industrial Production

The solution is suitable for conveyor systems, production lines, raw material flows, packaging, sorting, mining, food processing and industrial quality control.

Bottling & Packaging

Count bottles, cans and packages. Monitor fill level, labels and packaging quality.

Food Processing

Detect foreign bodies, classify products and monitor size, shape and visual quality.

Mining & Raw Materials

Analyze ore, coal and bulk material fractions, impurities and conveyor flow quality.

Pharmaceutical

Count tablets, capsules and vials. Verify packaging, labeling and completeness.

Electronics

Inspect components, detect defects and verify assembly correctness.

Logistics & Sorting

Classify parcels and items, count objects and optimize sorting throughput.

Platform foundation

Product Built on STATANLY AI Platform

The production line automation product includes AI models, configurable control scenarios, real-time analytics, integrations and retraining workflows for adding new object classes, defects and production events.

AI Models Library

Detection, classification, tracking, segmentation, defect recognition and custom product classes.

No-Code Scenario Engine

Configure counting lines, zones, thresholds, event logic, alerts and process rules without rewriting the system.

AI PLATFORM

Detection
Tracking
Industrial Analytics

BI & Reports

Production count, rejects, anomaly history, product classes, quality metrics and shift reports.

Industrial Integrations

Integration with VMS, PLC / SCADA, MES / ERP, BI, IoT, weighing systems and API.

Business impact: automated quality control, reduced manual labor, fewer defects and stoppages, better conveyor visibility and unified AI-driven analytics for production line optimization.