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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Effortlessly develop a machine learning (ML) model capable of detecting anomalies in your production line with just 30 images. This technology allows for the identification of visual defects in real time, thereby minimizing and averting product flaws while enhancing overall quality. By leveraging visual inspection data, you can prevent unexpected downtime and lower operational expenses by proactively addressing potential problems. During the fabrication and assembly stages, you can identify issues related to the surface quality, color, and shape of products. Additionally, you can recognize missing components, such as a capacitor that is absent from a printed circuit board, based on their presence, absence, or arrangement. The system can also identify recurring defects, like consistent scratches appearing on the same area of a silicon wafer. Amazon Lookout for Vision serves as a machine learning service that employs computer vision technology to detect manufacturing defects efficiently and at scale. By automating quality inspections through computer vision, you can ensure higher standards in product quality and consistency. This innovative approach not only streamlines the inspection process but also empowers businesses to maintain competitive advantages in their respective markets.

Description

Qi Screen is an intuitive touchscreen software built specifically for smart factories to simplify the collection of inspection, audit, and Gemba data directly from the shop floor. By enabling users to tap, speak, or type defect logs, observations, and checks, Qi Screen eliminates reliance on paper forms and spreadsheets, speeding up data entry and improving accuracy. The platform supports diverse use cases including quality checks, repairs, and Six Sigma projects, driving faster problem-solving and continuous improvement. Qi Screen works seamlessly on any touchscreen device—tablets, PCs, or industrial screens—providing supervisors with real-time dashboards to monitor trends, track issues, and export detailed reports. Its visual data capture features include surface inspections and image markup for precise documentation. With optional AI-driven trend detection, teams can identify recurring defects early and take timely corrective actions. Qi Screen’s ease of use and real-time insights empower factories to boost quality and operational transparency. The software effectively bridges the gap between shop floor activities and management oversight.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/lookout-for-vision/

Vendor Details

Company Name

ORCA LEAN

Founded

2021

Country

United States

Website

www.orcalean.com/qiscreen

Product Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Product Features

Quality Management

Audit Management
Complaint Management
Compliance Management
Corrective and Preventive Actions (CAPA)
Defect Tracking
Document Control
Equipment Management
ISO Standards Management
Maintenance Management
Risk Management
Supplier Quality Control
Training Management

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Alternatives

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