Mobile AI Tyre & Quality Inspection

Mobile AI Capabilities

Next-Generation Handheld Quality Control

Designed for dynamic factory yards, distribution centers, and flexible assembly cells where fixed gantry cameras are impractical.

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Handheld Sidewall & Tread QC

Instant optical detection of superficial cuts, blisters, bead damage, and irregular wear patterns using standard device cameras with sub-millimeter precision.

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Optical Tread Depth Profiling

Continuous laser and optical photogrammetry measures tread groove depth across tire circumferences to prevent premature wear and ensure legal compliance.

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Mobile Alphanumeric OCR

Reads curved DOT codes, TIN serialization, and tire sizes on-the-spot, cross-referencing batch databases to flag inventory discrepancies.

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Offline-First Edge Execution

Runs lightweight, quantized neural networks directly on the device NPU/GPU without requiring an active internet connection in remote yards.

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Instant MES & ERP Sync

Automatically pushes inspection results, timestamps, GPS/dock location, and defect imagery to factory ERP and MES systems when reconnected.

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Rugged Device Ready

Optimized for Zebra, Honeywell, Samsung Active, and iOS devices with enterprise MDM support and glove-friendly touchscreen UI.

Operational Workflow

Simple 4-Step Handheld Audit Flow

Enables shop floor operators to complete comprehensive inspections in under 15 seconds per unit.

Step 01

Scan & Aim

Inspector points the rugged tablet camera at the tire sidewall or tread with visual guidance crosshairs.

Step 02

On-Device AI

Quantized neural model runs sub-50ms inference directly on mobile hardware to detect flaws and read codes.

Step 03

Live Verdict

Instant color-coded Pass/Fail verdict displays on screen with exact flaw coordinates and metrology measurements.

Step 04

One-Tap Sync

Inspection data, photos, and compliance logs upload seamlessly to central quality databases and warehouse MES.

Mobile AI Specifications

Hardware & Software Specifications

Engineered for enterprise deployment across global manufacturing plants and logistics hubs.

Parameter	Industrial Specification
Supported OS	Android 11+ (Zebra, Honeywell, Samsung Rugged), iOS 15+ (iPhone/iPad)
Inference Latency	30ms - 60ms on device NPU/GPU (Qualcomm Snapdragon, Apple Neural Engine)
Offline Storage	Up to 50,000 local inspection records with high-res photos cached locally
Optical Accuracy	±0.1mm dimensional tread depth precision; 99.8% flaw detection accuracy
Wireless Connectivity	Wi-Fi 6/6E, Private 5G / LTE, Bluetooth Low Energy (BLE) peripheral barcode scanners
Enterprise Integration	SAP ERP, Siemens Opcenter, Oracle SCM, REST APIs, JSON Webhooks