Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Gain insight into the inner workings of your organization with a proactive approach to managing defects, faults, and incidents to enhance operational efficiency. With the ability to report defects, incidents, and inspections in real time, you can mitigate the costly consequences of unresolved issues, which can severely impact customer satisfaction. OPINSTA SAM enables employees to manage fault reporting effectively while offering a live overview of all activities. More than 90% of defects are typically registered through our platform within the initial six months of implementation, resulting in approximately 30,000 defects per client on average. The user-friendly design is intuitive, allowing frontline staff to navigate the system effortlessly and without the necessity for training. Experience immediate returns on investment as our consultants will devise an OPEX-based pricing strategy aimed at delivering ROI right from the first month. Plus, the platform is entirely customizable, allowing you to develop mobile reports, workflows, and integrations tailored to your specific business needs, ensuring a perfect fit for your operational goals. This flexibility not only enhances efficiency but also encourages a culture of accountability among employees.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$495 per month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lookout-for-vision/
Vendor Details
Company Name
Opinsta
Founded
2013
Country
United Kingdom
Website
opinsta.com
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No
Product Features
Inspection
Appointment Management
No
Customer Database
No
Dispatch Management
No
Equipment Tracking
No
Photos In Reports
Yes
Print on Site
No
Report Templates
Yes
Speech Recognition
No
Subcontractor Management
Yes