Capabilities

• 3D object localization — creating accurate 3D maps for precise gripping, even with moving parts;

• Orientation and shape recognition — AI-driven algorithms select correct gripping angles, including irregular shapes;

• Dynamic trajectory correction — real-time adjustment of manipulator motion when objects shift;

• Handling damaged and irregular packaging — accurate detection of grip points even on deformed boxes or bags;

• Integration with force/torque sensors — adaptive gripping strength for fragile goods;

• Multi-pick operations — handling multiple items simultaneously from different zones.

Implementation Example

Synetra Iris in logistics chains, classifying over 10,000 SKUs via 3D models.

What the system does

• Locates goods on conveyors and adjusts grip trajectory;

• Performs soft gripping of fragile items with force control;

• Executes simultaneous picks from multiple belts.

Result

• Sorting throughput increased 2.3x;

• Manual labor reduced by 85%.

Capabilities

• High-speed code scanning — real-time reading of barcodes, QR, and DataMatrix, including damaged labels;

• Product classification — identifying size, color, and shape for automated category distribution;

• Package integrity verification — detecting damaged or unsealed packaging before shipping;

• WMS/ERP integration — real-time synchronization with enterprise systems for error-free picking;

• Multipath support — simultaneous operation across several conveyor lines.

Implementation Example

Synetra Iris in a major parcel sorting center.

What the system does

• Scans up to 15,000 parcels per hour without stopping conveyors;

• Automatically routes parcels by destination;

• Captures photo records for tracking.

Result

• Sorting errors reduced by 92%;

• Faster order fulfillment without increasing headcount.

Capabilities

• Cargo identification by visual features and codes — recognition of containers, pallets, and packages;

• Automated event logging — registering time and location of each movement;

• Seal integrity check — detection of tampering or broken seals;

• Storage area monitoring — real-time analysis of occupancy and optimization of placement;

• Analytics and reporting — detailed statistics on cargo flow and warehouse utilization.

Implementation Example

Synetra Iris in a container logistics hub.

What the system does

• Reads ISO container codes and visual identifiers;

• Automatically logs arrival and departure times;

• Verifies seal integrity.

Result

• Cargo search time reduced from 3 hours to 15 minutes;

• Losses and tracking errors eliminated — 100%.

Capabilities

• In-motion code reading — scanning barcodes, QR, and DataMatrix at high conveyor speeds;

• Text OCR — recognition of printed or stencil labels;

• Order compliance verification — automatic matching with WMS/ERP data;

• Code quality assessment — grading print readability against ISO/IEC standards;

• Seamless integration with WMS/ERP — instant data transfer for inventory and tracking.

Implementation Example

Synetra Iris in a pharmaceutical warehouse.

What the system does

• Scans DataMatrix codes on fast-moving conveyors;

• Cross-checks order data with WMS;

• Blocks incorrect shipments automatically.

Result

• Human error reduced to 0.5%;

• Faster shipping without losing accuracy.

Capabilities

• Human presence detection — automatic slowdown or stop when a person enters the danger zone;

• PPE monitoring — verifying helmets, vests, gloves;

• Incident detection — spotting falling objects, spills, smoke, or fire;

• Event recording — video logs for incident analysis and preventive measures.

Implementation Example

Synetra Iris in an industrial robot zone.

What the system does

• Monitors the robot workspace with 3D cameras;

• Detects human approach within hazardous range;

• Instantly halts manipulator motion when safety is compromised.

Result

• 14 potentially dangerous situations prevented in the first year;

• Zero accidents in human–robot collaborative zones.

Advantages of implementing machine vision in robotics and logistics

• Improved accuracy of sorting and order fulfillment;

• Increased throughput and reduced manual labor;

• Full traceability of cargo and inventory;

• Reliable safety monitoring in collaborative zones.

Why choose us

• Proprietary image processing algorithms — tailored for robotics and logistics;

• AI-powered recognition — accurate object detection and classification;

• Seamless integration with robots, WMS, and ERP systems;

• End-to-end support — from design to 24/7 technical maintenance.