AI-POWERED ROBOTIC SORTING

Detect. Classify. Route. At Full Line Speed.

VisionAI Sorting is the AI-powered vision software that keeps up with industrial throughput. It detects every item on the conveyor, classifies it against your catalog or by visual features, and tells your robots exactly where to route it — at full line speed, without slowing the belt, without breaking when a new SKU shows up.

VisionAI sorting

DEPLOYED IN

Parcel SortingFood ProcessingE-Commerce FulfillmentQuality Inspection

Sort Anything. Faster, More Accurately, More Reliably Than Any Fixed-Rule System.

Rule-based sortation systems work — until a new SKU arrives, packaging changes, or two products look almost the same. Then they fail in ways that are hard to predict and harder to fix. AI-powered classification reasons about what it sees: shape, color, size, label, barcode, and damage all at once. The result is a sorting line that handles new items gracefully, scales to higher throughput, and keeps your accuracy above 99% even as your product mix evolves.

sort

REAL-TIME CLASSIFICATION

Every Item Detected. Classified. Tracked. In Real Time.

As soon as an item enters the camera’s field of view, VisionAI Sorting detects it, identifies what it is, and tracks its position on the moving belt. The system synchronizes detection with conveyor speed, so the sort decision arrives at the robot at exactly the right moment for a clean pick — even at full line speed.

  • Sub-100ms detection per item
  • Full conveyor speed synchronization
  • Multi-class recognition (SKU, size, color, shape)
  • Damage & quality detection
  • Handles unknown products gracefully

99.5%+

Detection Accuracy

Real-Time

Object Tracking at Line Speed

Multi-Class

Sort by Any Criteria

Any Robot

Brand-Agnostic Integration

MULTI-ROBOT COORDINATION

Scale From Single Robot to Full Sorting Line

A single picking robot has hard throughput limits. Adding more robots means coordinating who picks what, when, and from which segment of the belt — a problem that gets exponentially harder as throughput increases. VisionAI Sorting tracks every item from detection through pick, allocates work across all robots on the line, and keeps every arm productive without collisions or double-picks.

“One robot has throughput limits. Multiple robots have coordination problems. VisionAI Sorting solves both — synchronizing detection, allocation, and pick timing across every robot on the line.”

Camera sorting
RobotDepalr Mixed depalletizing vision

BEYOND BASIC DETECTION

Intelligent Classification That Goes Deeper

A typical sortation system reads a barcode and routes the item. VisionAI Sorting reads the barcode, identifies the SKU against your catalog, estimates dimensions, inspects for damage, and checks color and shape against expected values — all in a single classification pass. One camera capture replaces an entire chain of dedicated sensors.

How VisionAI Sorts Items at Line Speed

01

Item Enters FOV

An item moves into the camera’s field of view on the conveyor belt. The system begins tracking from the moment of first detection.

02

Camera Captures Image

A 2D or 3D camera captures the item — color, dimensions, surface detail, and any visible labels or barcodes — in a single frame.

03

AI Classifies Object

AI classification identifies the SKU and attributes — matching against the catalog, or reasoning from visual features when no exact match exists.

04

Sort Decision Made

A route is assigned based on category, destination, size, quality, or any other criteria configured in the sort logic for the line.

05

Robot Allocated

Multi-robot coordination logic assigns the pick to whichever robot is best positioned and available, balancing load across the line.

06

Pick & Place Executed

The robot picks the item at the synchronized moment and places it in the correct destination — chute, bin, belt, or tote — without slowing the line.

Rule-based sorting systems fail whenever a new product arrives. VisionAI Sorting reasons about what it sees — not what it was programmed for — so new SKUs don’t break the line.

— Viroteq Vision Team

More Than Detection — Full Object Understanding

SKU Recognition

Identify products against your known catalog with high confidence — even when packaging is partially occluded, rotated, or shows wear from handling.

Size & Weight Estimation

Dimensional analysis directly from camera images — length, width, height, and density-based weight estimates that feed downstream sortation by size class.

Quality Inspection

Detect damage, defects, surface anomalies, and packaging integrity issues during the same pass that classifies the SKU — no extra inspection station required.

Barcode & Label Reading

1D barcodes, 2D codes (QR, DataMatrix), and OCR for shipping labels and printed text — read at line speed without dedicated barcode scanners.

Color & Shape Analysis

Classify by visual features when no SKU match exists — separate by color grade, shape category, ripeness, or any other appearance-based attribute.

Damage Detection

Spot torn packaging, deformation, leaks, and visible product damage — route compromised items to exception lanes before they continue downstream.

See Sorting in Action

Book a live demo and watch VisionAI Sorting classify a real product mix at line speed — including SKUs you bring with you. Our engineers will walk you through detection, classification, sort decisions, and multi-robot coordination on a working line.

Frequently Asked Questions

AI-powered vision software that detects, classifies, and tracks objects on conveyors for robotic sorting applications. Handles parcel sorting, food sorting, quality inspection.

RobotStackr Vision is for stacking feedback — it observes carriers after placement. VisionAI Sorting is for routing — it identifies items to decide where they should go. Different use cases, same AI platform.

Parcels, polybags, boxes, food items, packaged goods, components. If a camera can see it and there’s visual distinction between categories, AI classification can sort it.

Yes. REST API integration with WCS (Warehouse Control Systems) and sort decisions can feed any downstream system: chutes, belts, robots, or manual stations.

Sub-100ms per object. Full conveyor speed operation with no need to slow the belt. Multi-robot lines handle 3000+ items per hour.

For known catalogs yes — we train on your product images for best accuracy. For unknown items, the AI classifies by visual features (color, shape, size) without specific training.

Ready to Automate Your Sorting Line?

Whether you’re sorting parcels into delivery routes, food items by quality grade, or e-commerce returns by SKU, VisionAI Sorting gives your line the intelligence it needs to keep up with throughput and adapt as your product mix evolves. Talk to our team about your sorting application.