Computer Vision for Warehouse Counting and Dispatch Verification
Summary: Computer vision turns warehouse cameras into a physical verification layer. It counts cartons, pallets and sheets, tracks pallets through the building, checks that the right goods go on the right truck, and flags damage, with image evidence for every discrepancy.
The Problem With Manual Counting
In many warehouses, counts at receiving and loading are still done by eye. A short count, a wrong truck or a damaged carton often goes unnoticed until the customer complains, and by then it is hard to prove what happened.
What Computer Vision Does in a Warehouse
- Counts cartons, pallets, boxes and sheets at receiving, storage and loading
- Identifies products and labels, and spots missing labels
- Tracks pallet and forklift movement between areas
- Verifies dispatch: checks the expected SKU, quantity and truck against what was actually loaded
- Detects damage: torn, wet or open cartons; bent, folded or crushed sheets; loose straps
- Keeps evidence: an image and a short video clip for every discrepancy
Easycomm’s platform also covers forklift and pedestrian proximity alerts, intrusion detection, licence plate recognition and trailer dwell-time tracking, and connects to warehouse and yard systems through APIs.
Real Example 1: Zimgold, Zimbabwe
A warehouse receiving, storing and dispatching palletised cartons. Each pallet gets a digital identity at receipt; cameras follow it through storage, forklift movement and loading, then validate the load against the dispatch order. Expected versus detected SKU, quantity and truck are checked before dispatch.
Real Example 2: Pack Universe
A cardboard sheet manufacturer storing finished bundles. Each new bundle is registered, its sheets counted against the expected quantity, and bent, torn or crushed sheets, gaps and uneven stacking are flagged, building an image-backed history of every bundle until it is verified at dispatch.
Read all four deployments in Computer Vision for Manufacturing.
How to Start
- Pick one checkpoint with the most costly errors: receiving, loading or dispatch.
- Map your cameras at that point and the records you check against (ERP or WMS).
- Pilot, comparing detected counts with manual counts.
- Connect to your ERP or warehouse system so mismatches stop or flag dispatch automatically.
Get Started
See AI video analytics for logistics or talk to our team about a pilot in your warehouse.
Frequently Asked Questions
Yes. It counts and identifies them at each checkpoint and compares the result with the expected record.
Yes. Dispatch verification compares the expected SKU, quantity and truck with what was detected during loading.
It typically uses existing compatible cameras placed at the count and loading points.
Yes. Detections connect to warehouse and yard systems through APIs.
