Logistics / Scanning / Code Reading

Image Module for Logistics Scan Device

Package and label conditions varied, causing read failures and repeated operations.

Logisticsスキャン端末QR Code組み込みLinux

Results Summary

1

Stable inspection quality: AI-based judgment dramatically reduces human error

2

Reduced workload: Automated recording and assessment cuts labor hours

3

Fast PoC-to-production: Evaluation kit enables rapid validation and smooth transition

Customer Challenge

Package and label conditions varied, causing read failures and repeated operations.

Implementation Overview

Background

Warehouse and delivery sites face changing labels and work speed. The terminal needed stable reading under real conditions.

Challenges

  • Dirty, folded or reflective labels
  • Hand shake and angled reading
  • Terminal UI and read-result integration

Implemented Solution

Reading camera, lighting, decoding and terminal-app integration were tuned together.

  • Reading camera module
  • Lighting control
  • Decoding engine
  • Terminal UI/API integration

Rollout

  1. Site Samples
    Actual label conditions and reading distance were checked.
  2. Reading Tuning
    Exposure, lighting, focus and UI response were tuned.
  3. Terminal Evaluation
    Read results and usability were checked inside the work flow.

Operational Change

  • Supported stable reading around actual labels
  • UI integration made results easier to check in workflow
  • Evaluation conditions for terminal production became clearer

Expansion

Inventory management, warehouse gates and fixed scanners can be reviewed next.

Discuss Logistics Terminals

Share actual labels, distance, terminal size and communication requirements.

Results & Impact

A module tuned to reading conditions and UI integration created a scan experience aligned with site workflows.

Why CSUN

1

Integrated camera, embedded, AI, and connectivity: System-level optimization, not piecemeal

2

One-stop from PoC to mass production: Prototype evaluation → design → production → long-term supply

3

Flexible design for real-world constraints: Adapts to existing lines, lighting conditions, and space limits

4

Trilingual support (JP/ZH/EN): Global development, sourcing, and support capabilities

Related Solutions & Products

From camera selection to AI model design, embedded implementation, and mass production — we provide end-to-end support.

Discuss a Similar Case

FAQ

Can this work in a similar production environment?

In most cases, yes. Please share sample images and requirements from your site. We'll propose the optimal configuration based on similar cases.

Can I consult just for a PoC?

Absolutely. We welcome PoC-only engagements. Our evaluation kit enables rapid validation.

Can we validate without stopping our existing line?

Yes. Add-on cameras or non-invasive sensors allow validation while your existing line keeps running.

Can you help with camera selection?

Yes. We'll recommend the optimal camera module based on your target objects, lighting conditions, and inspection criteria.

Facing a similar challenge?

From camera selection to AI model design, embedded implementation, and mass production — we provide end-to-end support.