All Foundries

Commodity Management & Trading

Transforming trading ecosystems through data-driven insights and secure, agile platforms that empower global commerce.

Customer & Marketing Strategy

Reimagining customer engagement with personalized, connected experiences that build trust and long-term value.

Digital Engineering

Turning ideas into scalable digital solutions—accelerating transformation through design, technology, and engineering excellence.

Station Studio

Redefining mobility hubs with digital innovation to create smarter, sustainable experiences for people and businesses on the move.

Supply Chain & Industry 5.0

Building resilient, intelligent supply networks that anticipate change and deliver efficiency with purpose.

Sustainability

Driving responsible innovation to help organizations achieve net-zero goals and create a positive impact for future generations.

Physical AI

Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.

Next-Gen Infrastructure

From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.

Retail

From satisfaction surveys to EBITDA: closing the loop on customer pain points

A department store retailer in Mexico turned a biannual NPS programme into a closed-loop customer listening mechanism, connecting feedback to pain-point initiatives and incremental EBITDA.

From satisfaction surveys to EBITDA: closing the loop on customer pain points

Retail

Unified returns management

A retailer processing more than two million returns a year moved from channel-specific workflows toward one digital returns system. The initiative connects request creation, status tracking and routing across sales and return channels.

Unified returns management

Contact

Machine vision for paint finish inspection

An automotive manufacturer automated paint finish inspection by connecting high-definition cameras over a private 5G network to edge compute. High-resolution video was analysed against an AI model to detect paint quality issues before vehicles left the production line.

Inspection efficiency

Overall paint inspection efficiency improved.

Detection accuracy

Paint errors identified more accurately.

Recall exposure

Fewer vehicles recalled for paint issues.

Industrial reuse

Platform created for future use cases.

Quality specialist examining the reflective paint finish of a completed vehicle at the final inspection stage of an automotive production line

Machine vision for paint finish inspection

A connected inspection environment designed to keep high-resolution image traffic moving and quality decisions close to the finishing line.

Every vehicle needed its paint finish checked before release, at the pace of high-volume production.

Objectives

The initiative set out to automate a critical quality-control step in vehicle manufacturing. The client wanted to improve the efficiency of paint inspection and reduce the human error associated with manual review, while maintaining the responsiveness needed to identify quality issues during production rather than after vehicles had left the factory.

Opportunity

The deployed private 5G network created a foundation for additional industrial use cases beyond paint inspection. Its value for future applications rests on the same capabilities required here: reliable coverage around production assets, protected traffic over the wireless interface, bandwidth for data-intensive workloads and local processing for time-sensitive decisions. The source does not identify which use cases would follow or whether any expansion has been approved.

Bringing consistent visual quality control into the flow of production

Paint inspection sits at a demanding point in automotive production. The solution needed to examine every vehicle before release, move high-resolution video through a metal-intensive factory environment and support decisions without interrupting the finishing line.

Key Challenges

1. Inspection at production volume:
The manufacturer produced a high volume of vehicles each day, and each vehicle required paint finish inspection before release.

Gloved quality inspector examining a small surface imperfection in dark blue metallic automotive paint under angled inspection lighting

2. Consistent defect detection:
The initiative needed an automated method capable of identifying several paint quality issues while reducing the exposure to human error in manual inspection.

Industrial camera mounted among metal structures and finishing equipment inside an automotive paint inspection environment

3. High-resolution video in an RF-hostile area:
Camera placement in the finishing line required wireless coverage in a radio-frequency-hostile location and enough bandwidth for high-resolution video.

Automotive inspection line with distributed camera stations, private cellular radio units and local edge equipment supporting continuous operation

4. Continuous, time-sensitive operation:
The inspection flow required responsive edge processing, protected video traffic and resilient coverage so that connectivity would not become a weak point in production.

Solution

Private 5G and edge AI for automated paint inspection

NTT deployed a private 5G network in the paint inspection section of the finishing line. The network connected high-definition cameras to an edge compute system, where an AI model analysed the video for paint quality issues.

Connected camera inspection

High-definition cameras captured the paint finish as vehicles moved through the inspection section, supporting automated review within the production process.

Edge-based AI analysis

The cameras sent high-resolution video to an edge compute system, where images were analysed against an AI model to detect several paint quality issues.

Private coverage for the finishing line

The private 5G deployment provided coverage for camera placement in an RF-hostile environment and the bandwidth required by the video workload.

Protected and resilient connectivity

Enterprise slicing protected video traffic over the wireless interface, while overlapping adjacent radio cells provided coverage resilience alongside the design’s hardware and software resilience.

Impact

More dependable paint quality decisions before release

According to the source, the client improved the overall efficiency of paint inspection and detected errors with greater accuracy. The catalogue also reports fewer vehicles being recalled from dealerships because of paint issues. No baseline, measured improvement, timeframe or attribution method is provided, so these outcomes should remain qualitative until the client validates the supporting evidence.

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