Packaging & Logistics

Every package.
Every conveyor.
Every time.

Vision that detects damage, measures gaps, counts throughput and feeds live analytics at full line speed, with zero manual sampling.

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Flow Control Analytics - OV20i HMI showing live package area detection with PASS result

Package Damage Check - OV20i HMI showing real-time damage detection with FAIL result

Open package flap detections localized on cartons moving down the line

Open-seal detections localized on the cross seal of a paper package

Flow control · Live rate

228 pkg/hr

100%: Inline inspection
<160ms: Latency per frame
24/7: Autonomous

Deployed inFulfillment centersDistribution hubsConveyor systemsPack stationsSortation lines

Damage Detection

Catch Every Tear, Rip & Puncture, Automatically

Our AI segments damage at the pixel level: tears, punctures, crushed corners, and contamination. It quantifies severity by area, major axis, and minor axis. Each package gets a definitive PASS or FAIL in under 161ms.

Pixel-Level Segmentation: Blob detection isolates and measures each damage region: area, center coordinates, and major/minor axis lengths for full traceability.
Multiple Damage Classes: Train for tears, punctures, crushed edges, moisture damage, and contamination, all running simultaneously in a single recipe.
100% Alignment Confidence: Built-in alignment ensures consistent measurement across varying package positions, orientations, and conveyor speeds.

Package Damage Check - OV20i / OV80i HMI showing real-time damage detection with FAIL result

Gap Measurement

Precision Gap Measurement at Conveyor Speed

Detect and measure gaps between packages on conveyor belts in real time. Our system tracks multiple gap regions simultaneously, measuring each down to the pixel with blob-level statistics: area, major axis, minor axis, and center position.

255: ms Latency
100%: Yield Rate
4: Regions Tracked

Each gap is classified independently with per-blob statistics, so line automation can trigger divert arms, adjust conveyor speed, or flag spacing violations for upstream correction.

Conveyor Gap Measurement - OV20i / OV80i HMI showing 4 tracked gap regions with 100% yield

Package Damage Check - FAIL result with damage area quantification

Flow Control

Real-Time Throughput Intelligence

Count every package. Measure every area. Track every flow rate. Our AI classifies each package by area (153,406+ pixels) and applies pass/fail logic in real time, giving you immediate visibility into line throughput and quality yield.

Packages Per Hour / Day / Week: Track throughput over any time horizon. Identify bottlenecks, peak hours, and declining trends before they impact SLAs.
Real-Time Flow Rate: 5-minute interval monitoring with live flow rate (228 pkg/hr), system status, and belt uptime, all streamed to your custom dashboard.
No-Code Automation: Trigger divert arms, alert operators, and feed your warehouse and factory systems, all without writing code.

Flow Control Analytics - OV20i / OV80i HMI showing package area detection and pass/fail

Three open-seal detections localized on the cross seal of a paper package — Open-seal detections localized on the cross seal. Defect examples generated synthetically on real captures with Overview’s Defect Creator Studio.

Paper packaging · Seal inspection

Grade every heat seal on every package, without destroying it

Seal strength is usually verified destructively: cut strips, pull them on a tensile tester, scrap the package. Accurate, but slow, sampled, and blind between samples. The OV20i grades the visual seal condition that predicts bond failure, on the cross seal and long seal of every package at line speed, so drift in jaw temperature, pressure, or web handling is caught at the first bag, not at the next pull test.

100%: of packages inspected, non-destructively
0: defect escapes, the standard we deploy to
Days: to train and deploy, GenAI defects fill the gaps

Read the case study

Built-In Dashboard Engine

Your Data. Your Dashboard.
Built Right on the Camera.

Every OV20i and OV80i serves its own custom dashboard. HTML, CSS, and JS run directly on the device. No cloud subscriptions. No third-party BI tools. Real-time production data, accessible from any browser on your network.

Custom Flow Control Analytics Dashboard with hourly, daily, weekly charts and real-time system status

Applications

What You Can Inspect Today

One camera, multiple recipes. Deploy an OV20i or OV80i once and run any combination of these inspections, switching between recipes in seconds.

Package Damage Detection

Identify tears, rips, punctures, and crushed corners on parcels in transit. Pixel-level segmentation quantifies damage area for automated divert decisions.

Conveyor Gap Measurement

Track spacing between packages on high-speed belts. Multi-region measurement with per-blob statistics enables downstream jams to be prevented before they happen.

Flow Control Analytics

Count packages, measure flow rates, and log throughput over time (per hour, per day, per week) with live dashboards accessible from any browser.

Shipping Label Verification

Verify label presence, position, readability, and barcode quality. Prevent mislabeled packages from entering sortation and reaching the wrong destination.

Carton Seal Integrity

Detect open flaps, incomplete tape seals, and compromised closures that could lead to product loss or contamination during shipment.

Fill Level & Kit Verification

Confirm correct quantities and component placement inside open-top boxes. Catch missing items before the carton is sealed and shipped.

Spotlight · Fill Level & Kit Verification

Kit checks on parts most vision systems can’t see

Transparent parts are among the hardest things to inspect. Classical vision tools struggle with simple presence checks on clear items even under creative lighting, and packed boxes make it harder: contents shift, and a translucent air cushion can squeeze in anywhere between them.

Another packaging use case we worked on was exactly this: a box packed with four clear glasses and a translucent air cushion, verified before sealing. We used the OV20i’s photometric imaging mode to get stable images of every item as ambient light changed, and grouped regions of interest so the glasses and cushion could sit in slightly different positions and still be checked, with a confident judgment whenever any of them was missing.

Photometric imaging: Stable images of clear and translucent parts, even as overhead lights switch on and off.
Grouped ROIs: One label set trains every region at once, so far fewer images produce more training data.
Trained for variation: Different positions, different lighting, partial packs. The model is trained to expect all of it.

Proof

Running on Packaging Lines Today

From mounting to validated inspection in days, not months. No labelled datasets, no server room, no per-inspection licensing.

Personal care · Carton line

Open-flap detection at 200 cartons a minute

A global personal care brand was running a high-speed carton line with no vision system at all, and no tolerance for an open flap reaching final pack. We mounted an OV20i and triggered it off the line sensor already there, then trained a classification model on-site from real production samples. By the end of the first day it was capturing every carton without missing a part.

200 ppm: validated at full line speed
Same day: set up, trained and validated
100%: of cartons inspected

Read the case study

Row of cartons on the line with three open package flap detections localized by the OV20i — Open package flap detections, localized on each carton as it passes.

Multi-site deployment in days, not months: The same OV20i recipe deploys across every line globally. No IT infrastructure or cloud dependency. One platform for all facilities worldwide.
Speed without sacrifice: Validated at 200 ppm on day one, without slowing production.
No per-site license fees: Fully edge-based. No server room, no maintenance contracts, no per-inspection licensing. Facilities teams own and operate it directly.

Same camera, other packaging recipes

Open/closed flap
Label presence
Cap and closure
Fill level
Date and lot code
Expiry dates
Ingredient labels
Batch codes
Serialization and track-and-trace

Every deployment runs entirely on the camera. The same recipe deploys to every line and every facility with no cloud dependency, no server room, and no per-site or per-inspection licensing.

Why Overview AI

Built for High-Volume Fulfillment

Unlike bolt-on software or cloud-dependent systems, every OV20i and OV80i is a fully autonomous inspection station.

Zero cloud dependency: All AI inference runs on-device. Your images and data never leave your network. Period.
Deployed in under two hours: Mount, connect, train. No integrators, no vendor engineers, no 6-month deployment cycles.
Unlimited recipes per camera: Run damage detection, gap measurement, and flow analytics from a single device. Switch in seconds.

Enterprise-Grade Hardware

Industrial cameras built for 24/7 fulfillment environments, not retrofitted office hardware.

21–150+

AI TOPS

NVIDIA on-device processing. Zero cloud latency.

100K+

On-Device Images

Weeks of production data stored directly on each camera.

Native Protocols

EtherNet/IP, Profinet, Modbus TCP. No middleware needed.

IP54

Industrial Rated

Dust-proof, splash-proof. Operates in -20°C to 50°C environments.

Platform

The camera is half the answer. The software comes with it.

Point solutions inspect and forget. Every OV20i and OV80i ships with the same software stack: searchable image history, GenAI training data, and no-code integration, included with the platform rather than sold as add-on modules.

Haystack · On-camera image search

Every package, searchable after the fact

Each camera stores 100K+ captures on device, and Haystack searches them: filter by date, inspection region, and confidence, cluster similar failures, and pull the exact frames a question is about. When a damage claim or a carrier dispute comes back weeks later, the photographic record of that shipment is a query away, not a shrug.

Explore Haystack

Haystack on the OV80i HMI - searching and clustering stored inspection captures by confidence — Haystack running on an OV80i, clustering stored captures from a connector recipe. The same tab ships on every camera on this page.

OV Auto-Defect Creator Studio

Train for damage you haven’t seen yet

Rare failure modes are rare on purpose, which makes them slow to collect and easy to miss. The Defect Creator generates synthetic defects on your real captures, so tears, burns, contaminants, and seal failures are in the training set before the first one ever reaches the line. The seal inspection case study above was trained exactly this way.

See the Defect Creator

Synthetic packaging seal defect example 1 — Seal defects generated synthetically on real captures for training and validation.

Synthetic packaging seal defect example 2 — Seal defects generated synthetically on real captures for training and validation.

OV Auto-Integration Builder

Integrations written in plain English

Wiring inspection results into the rest of the line usually means integration code. Overview ships a tool that writes it for you: describe what should happen, like “if a package fails, divert it and alert the operator”, and it builds and tests the integration against real outputs from your camera. Divert arms, alerts, warehouse systems, no programming.

See the Integration Builder

OV Auto-Integration Builder generating a camera integration from a plain-English description

Stop Shipping Damaged Packages

See how the world's largest fulfillment operations use Overview AI to inspect every package, every conveyor, every shift with zero manual sampling.

Talk to an Expert See All Applications

Every package.Every conveyor.Every time.