Construction, infrastructure, and industrial projects rely on accurate deliveries of parts such as pipes, beams, panels, or components. Today, proof of delivery is often manual, inconsistent, and difficult to verify after the fact.
Object Counting AI enables teams to automatically confirm delivered quantities from images, creating visual, auditable proof at the point of delivery.
The Problem
- Manual counting is slow and error-prone
- Paper delivery notes are frequently incomplete or inaccurate
- Disputes arise when delivered quantities don’t match expectations
- Audits lack visual evidence of what actually arrived
The Solution
Use Object Counting AI to automatically count specified item types (e.g. pipes) from images of the load and validate them against expected quantities.
Counts are returned with optional visual overlays, creating transparent, verifiable proof.
How It Works
- Capture reference information
Take a photo of the delivery note, expected inventory list, or label.
Expected items and quantities are automatically extracted from delivery documents or labels. - Capture the physical load
Driver or operator takes an image of the truck bed, container, rack, or pallet. - Count and validate
Object Counting AI counts the specified item type (e.g. pipes). - Automatic comparison
System compares counted quantity against expected quantity. - Result returned
- Match → confirmed
- Mismatch → discrepancy flagged
Includes total count and optional visual overlay.
Fallback:
Even without paperwork, a simple photo of the load is enough to instantly return an accurate count.
Output
- Total item count
- Optional visual overlay showing counted items
- Match / mismatch status
- Timestamped record for audit trail
Value
- Faster delivery verification
- Reduced disputes and rework
- Visual proof for compliance and audits
- No manual counting required
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