11 Sep 2026

AUTOMATION FOR MANUFACTURING

iOS app delivers instant quality verdicts without costly cameras

Telit Cinterion says that its app allows instant quality decisions

A Californian IoT specialist has announced an AI-powered app that allows users to perform on-the-spot visual plant inspections without needing wired cameras or cloud connections. Telit Cinterion’s deviceWise VI Assistant app runs on an Apple iPhone or iPad, allowing quality managers and engineers to make informed decisions instantly, instead of having to wait minutes or hours for analysis results.

The app can perform AI-powered inspection almost anywhere in a manufacturing or process plant. Users can apply AI throughout their production processes, without needing expensive hardware or custom code.

The app is an extension to the company’s deviceWise AI Visual Inspection system, which offers a no-code means of collecting and analysing visual data from production processes. It allows users to identify and address emerging quality control issues involving workstations, robots, CNC machines and more. This can lead to substantial reductions in downtime and rework, improving quality and helping to ensure that production schedules are met.

For example, it can instantly identify flaws such as missing bolts, coating variations, or other critical aspects of product quality. Such insights can be critical in production environments such as just-in-time manufacturing and Industry 4.0.

“deviceWise with VI Assistant significantly enhances the ability of manufacturers to quickly find and fix problems using Apple devices,” says Telit Cinterion’s vice-president of deviceWise Industry 4.0, David De la Rosa. It “enables manufacturers to collect, transform and integrate data from any machine to any IT system, creating full applications for Industry 4.0 and digital transformation”.

The app, available for Apple devices running iOS 18.2 or later, expands the reach and effectiveness of the deviceWise platform using the devices’ advanced GPUs and cameras. It runs AI predictions directly using locally stored models.

For example, the app can take advantage of the iPhone 16’s A18 chip, with its five-core GPU, enabling powerful AI inferencing on the device. The phone’s 48MP camera, with up to 10X digital zoom, provides the resolution needed for the AI to identify problems immediately.

The app communicates via Wi-Fi, or 4G/5G networks, eliminating the need for costly, specialised wired cameras. The on-premises architecture also ensures security, keeping proprietary information and AI models entirely within a facility, rather than in the cloud.

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