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What is Ximilar?

Leverage cutting-edge deep learning algorithms for your initiatives and streamline the deployment of innovative vision automation without the burden of development costs. Create powerful, customized image recognition solutions through a user-friendly web interface designed for ease of use. Our dedicated team consistently refines the core machine learning algorithms, ensuring you have access to the most recent breakthroughs in technology. Additionally, you have the option to train a personalized neural network tailored to recognize the specific images essential for your projects. Ximilar, a leader in Visual AI and Search technologies, has strengthened its offerings by acquiring Vize, which enhances performance, speed, and incorporates crucial features for businesses. Visit the Ximilar Homepage to explore our extensive range of services and discover how we can address your visual AI requirements. Elevate your business with our transformative solutions, unlocking new opportunities for growth and innovation in the visual domain. With our expertise, you can stay ahead in a rapidly evolving technological landscape.

What is EndoAim?

The ASUS EndoAim AI Endoscopy System is an advanced, compact AI solution designed to assist gastroenterologists in detecting and classifying polyps during colonoscopy procedures. Utilizing Intel Core processors in conjunction with the OpenVINO toolkit, EndoAim can process images at an impressive rate of 60 frames per second while maintaining a latency of less than 70 milliseconds, allowing for quick identification of even the smallest or most elusive polyps. The system effectively highlights suspected polyps on the screen and categorizes them as adenoma or non-adenoma, providing healthcare professionals with real-time feedback. Additionally, EndoAim features a user-friendly one-click option for measuring the size of polyps, which improves the assessment of their dimensions compared to traditional visual estimation methods. This cutting-edge system integrates smoothly with current colonoscopy equipment and only requires the addition of a mini PC, making it a practical choice for medical facilities. It has already been implemented in over 30 healthcare institutions throughout Taiwan, reflecting the increasing reliance on AI technologies to enhance diagnostic precision in gastroenterological care. As the demand for efficient and accurate diagnostic tools grows, systems like EndoAim are likely to play a pivotal role in shaping the future of medical imaging.

Media

Media

Integrations Supported

Claude
Cursor
GitHub
GitLab
OpenVINO
PHP
Postman
Python
Qualcomm Cloud AI SDK

Integrations Supported

Claude
Cursor
GitHub
GitLab
OpenVINO
PHP
Postman
Python
Qualcomm Cloud AI SDK

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Ximilar

Date Founded

2016

Company Location

Czech Republic

Company Website

www.ximilar.com

Company Facts

Organization Name

ASUS

Date Founded

1989

Company Location

China

Company Website

www.asus.com/mobile-handhelds/wearable-healthcare/asus-endoaim-ai-endoscopy-system/asus-endoaim/

Categories and Features

Computer Vision

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

Categories and Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

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