Technology leader
for AI-based, visual
Quality inspection

AI for visual quality assurance

Best-in-class error detection
AI-supported, software-defined classification of error patterns
No-code self-service platform for maximum user autonomy
Hardware-independent integration into new quality gates and existing systems
Elimination of pseudo errors for maximum test accuracy

36ZERO Vision relies on automated quality control through proprietary deep learning and a novel, robust algorithm that detects defects down to pixel level, even under changing light conditions. The result: an unprecedented level of accuracy that automates visual inspection and ensures long-term reliability in the production process.

Learning error patterns instead of simply detecting anomalies

36ZERO Vision really understands error structures - and thus goes far beyond traditional approaches.

Get to know data-centric AI

screw_eccentric

The fixing screw is not centered in the hole, resulting in an eccentric position.

crack

A fine radial crack is visible on the surface of the brake disk.

scratch_small

There is a small superficial scratch on the tread without affecting the function.

times better
Error detection

times fewer pictures for
AI training required

Months typical
Amortization period

No-Code
Self-service platform

Setup is intuitive and requires neither expert knowledge nor programming skills.

Seamless integration - maximum flexibility

As a hardware-independent solution, 36ZERO Vision can be seamlessly integrated into existing and new systems. It can be used universally for a wide range of industries and product types.

Upload images

With just a few clicks, a new project is created on the 36ZERO Vision Cloud Platform and sample images of the product to be checked are product to be checked using drag & drop.

Training the algorithm from any workstation
Upload 20 times fewer images from the production line
The following can be used for training CAD files can be used to shorten the operating time of the image acquisition in production

Train AI

The area to be inspected (region of interest) and then the defect types to be identified are trained on these. To train the customer-specific defect characteristics, the AI typically requires 5-20 sample images on which these have been marked (labeled).

No programming knowledge necessary to set up the algorithm
31 times better Identification of known errors through the robust, adaptive algorithm
2 times better Identification of anomalies through the detection of unknown defects in a stable environment

Integration
on-premise

Once the model has been successfully validated on the cloud platform, it can be downloaded to the 36ZERO Vision Edge Client for local execution. This provides detailed inspection results in real time via a data interface and visualization dashboard.

Application of the Algorithm on your industrial computer in just a few clicks
Continuous optimization of vision AI through human feedback
Simple integration into existing production systems

Visual quality assurance with AI in your company.

Test now without obligation!

Industrial
Image processing
rethought

What are the advantages of error pattern recognition with AI from 36ZERO Vision?

Best possible fault detection - Maximum precision in the identification of defects, while minimizing pseudo defects.
Cost reduction - fewer rejects, fewer recalls, less rework.
Traceability - Complete documentation of all test results through automated error classification.
Flexibility - Reliable detection even with changing materials, colors and product variants.
Objectivity - consistent decisions without fatigue or subjective fluctuations.
Integration - Retrofittable and compatible with all common camera types.
Real-time analysis - Direct signals to PLC or feedback for optimizing process parameters.
Scalability - can be used flexibly in a wide range of industries and plants worldwide.