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What is Captur?

Captur is a cutting-edge computer-vision SDK designed to enable real-time photo validation in mobile apps. By leveraging on-device models, it evaluates images as they are captured, notifying users of potential problems such as blurriness, inadequate lighting, or facial presence, and ensuring compliance with specific criteria prior to upload. This versatile SDK works seamlessly on both iOS and Android systems and can be integrated into projects that utilize Swift, Kotlin, React Native, and Flutter frameworks. Developers can define image requirements using simple business language, allowing Captur to aid users in submitting high-quality evidence for various tasks, including proof of delivery, monitoring micromobility parking, vehicle inspections, and ensuring helmet compliance. The image analysis process occurs offline on the user's device, while the management of policies and model updates can be conducted independently. Moreover, applications can review or modify the results produced by the model, providing flexibility. By focusing on empowering product and operations teams, Captur enhances the development of mobile applications reliant on trustworthy user-generated images, which significantly improves the quality and reliability of submissions. This comprehensive approach not only simplifies the validation process but also enriches the user experience by minimizing the likelihood of erroneous submissions, ultimately fostering greater user satisfaction and trust in the application.

What is Azure AI Custom Vision?

Create a customized computer vision model in mere minutes with AI Custom Vision, a component of Azure AI Services, which allows for the personalization and integration of advanced image analysis across different industries. This innovative technology provides the means to improve customer engagement, optimize manufacturing processes, enhance digital marketing strategies, and much more, even if you lack expertise in machine learning. You have the flexibility to set up the model to identify specific objects that cater to your unique requirements. Constructing your image recognition model is simplified through an intuitive interface, where you can start the training by uploading and tagging a few images, enabling the model to assess its performance and improve its accuracy with ongoing feedback as you add more images. To speed up your project, utilize pre-built models designed for industries such as retail, manufacturing, and food service. For instance, Minsur, a prominent tin mining organization, successfully utilizes AI Custom Vision to advance sustainable mining practices. Furthermore, rest assured that your data and trained models will benefit from robust enterprise-level security and privacy protocols, providing reassurance as you innovate. The user-friendly nature and versatility of this technology unlock a multitude of opportunities for a wide range of applications, inspiring creativity and efficiency in various fields. With such powerful tools at your disposal, the potential for innovation is truly limitless.

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Media

Integrations Supported

Integrations Supported

Azure AI Services
Azure Marketplace
Crestwood Cloud
FactorFox
Fleece AI
Microsoft Azure
groundcover

API Availability

Has API

API Availability

Pricing Information

Pricing is consumption-based and is sized to expected volume and use case. New customers can start with a paid pilot.

Pricing Information

$2 per 1,000 transactions
Free Trial Offered?

Supported Platforms

Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Captur

Company Location

United Kingdom

Company Website

captur.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/ai-custom-vision/

Categories and Features

Computer Vision

Not specified

Categories and Features

AI Vision Models

Not specified

Computer Vision

Not specified

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