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ease
features
design
support

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Description

SwitchOn, Inc. has reimagined quality inspection with DeepInspect®, an AI-driven visual inspection platform that automates tedious tasks while enhancing accuracy and speed for manufacturers. Using deep learning integrated into computer vision, DeepInspect enables inspections at speeds exceeding 1000 parts per minute and supports up to eight high-resolution industrial cameras. The no-code interface allows users to set up inspections for new SKUs in under an hour, without requiring internal data science resources. DeepInspect covers diverse inspection needs such as optical character verification, surface checks, and sealing inspections for products like glass bottles and gelatin capsules. Its seamless integration with industrial IO protocols and equipment from leading manufacturers ensures smooth deployment and process management. The system includes advanced analytics to track rejection trends, diagnose root causes, and improve machine performance. Backed by round-the-clock support, DeepInspect combines research-driven AI with industrial-grade hardware for dependable and scalable inspection solutions. This empowers manufacturers to focus on innovation while ensuring product quality and operational efficiency.

Description

Mitutoyo has established itself as a global frontrunner in the realm of precision measuring tools and solutions. In our dedication to supporting your goal of producing entirely defect-free products, we have harnessed artificial intelligence to devise an innovative approach to the intricate challenge of defect detection. Historically, the process of visual defect detection has been not only expensive but also labor-intensive. With the advent of AI INSPECT from Mitutoyo, we empower users to craft straightforward yet advanced defect detection systems for visual inspection, thanks to the remarkable capabilities of artificial intelligence and machine learning. This state-of-the-art software employs deep-learning convolutional networks to discern the visual discrepancies between normal and defective pixels across any series of related images. Users can easily upload images of both defects and normal products into the application to establish a project model. They can then utilize intuitive marking tools to identify defects within the images. Furthermore, the software provides a guided training setup process that requires no prior knowledge of artificial intelligence, making it accessible to all users who wish to enhance their inspection capabilities. Ultimately, this transformative tool not only simplifies the defect detection process but also enhances overall product quality.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

NVIDIA DRIVE No 

Integrations

NVIDIA DRIVE Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

SwitchOn, Inc

Founded

2018

Country

India

Website

switchon.io/product/

Vendor Details

Company Name

Mitutoyo

Country

United States

Website

www.mitutoyo.com/aiinspect/

Product Features

Product Features

Inspection

Appointment Management No 
Customer Database No 
Dispatch Management No 
Equipment Tracking No 
Photos In Reports No 
Print on Site No 
Report Templates No 
Speech Recognition No 
Subcontractor Management No 

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