React Native
jQuery
Flutter
Babel
OpenSSL
Composer
Raven.js
Symfony
Expertum AI
Luxand.cloud
Kairos
Amazon Rekognition
Imagga
SwiftDil
Facia
Google Vision AI
Expertum.ai's Face.Match.Expert is a cutting-edge, cloud-based facial recognition search engine, boasting a remarkable 99.98% accuracy in face recognition. This tool represents a significant advancement in the field of technology, specifically in enhancing the effectiveness and precision of facial feature detection, recognition, and categorization systems.
Lukasz Kowalczyk, a co-founder of Expertum.ai, expressed their objective to develop the most efficient facial recognition engine in the market. Leveraging expertise in advanced technology, Expertum.ai have created a system that is not only fast but also boasts an impressive 99.98% accuracy in facial detection and recognition. This system is capable of handling 1,000 concurrent requests and is available as a Software as a Service (SaaS) solution, featuring an easily integratable API for user convenience.
Face.Match.Expert distinguishes itself in the competitive facial recognition technology landscape with its user-friendly API, making it accessible to developers at various skill levels, including beginners. The engine's performance is further enhanced by Expertum.ai's unique innovations, enabling it to support an expansive database. This feature simplifies the addition and search of photo databases containing hundreds of millions of images, ensuring a smooth and efficient process.
A key aspect of Face.Match.Expert is its strict adherence to GDPR regulations, underlining Expertum.ai's commitment to data security and user privacy. The system ensures that no personal data, including photographs, is stored on servers in its original form. This compliance makes Face.Match.Expert a reliable choice for services with rigorous privacy requirements.
React Native Expertum AIExpertum AI's answer:
High Accuracy Level: One of its most notable attributes is the exceptionally high accuracy rate of 99.98% in facial recognition. This level of precision is rare and sets it apart from many other facial recognition systems.
Cloud-Based SaaS Solution: It is offered as a Software as a Service (SaaS) solution, which means it's cloud-based and can be easily integrated and scaled according to the user's needs without requiring extensive hardware investments.
User-Friendly API Integration: The system is designed with a user-friendly API, making it accessible and easy to integrate into various applications. This feature is particularly beneficial for programmers of all skill levels, including beginners.
High-Volume Handling Capacity: Face Match Expert is capable of handling up to 1,000 requests simultaneously, demonstrating its robustness and scalability for high-demand environments.
Extensive Database Capacity: Thanks to Expertum.ai’s proprietary innovations, the engine supports a nearly limitless database capacity. This allows for the easy addition and searching of massive photo databases, containing hundreds of millions of images.
Strict GDPR Compliance: The system strictly adheres to GDPR regulations, ensuring the security and privacy of sensitive biometric data. It is designed to not store any personal data, including photographs, on servers in its original format, which is crucial for privacy protection.
Suitability for Stringent Service Requirements: Because of its privacy and data protection measures, Face Match Expert is suitable for use in environments with stringent service and privacy requirements.
Based on our record, React Native seems to be more popular. It has been mentiond 219 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
When taking about cross-platform flexibility, Svelte also has Svelte Native like the way React has React Native for mobile app development. - Source: dev.to / 6 days ago
1. React Native: Transition into Mobile Development with React Native, allowing you to reuse JavaScript knowledge. The official React Native documentation is a good starting point. - Source: dev.to / 14 days ago
Enter React, React Native, and Expo. By unifying our development stack, we streamlined our workflow considerably. Yet, one crucial piece was missing: a comprehensive library for essential tasks like icons and components. As we delved further into our development journey, we realized there were more gaps to fill, including robust boilerplates and other essential necessities. - Source: dev.to / 26 days ago
The best option is probably Flutter right now: https://flutter.dev/ If you don't mind writing the UI native, sharing only business logic code, Kotlin is an option: https://kotlinlang.org/docs/multiplatform.html#kotlin-multiplatform-use-cases Kotlin also can do the UI if you use Compose: https://www.jetbrains.com/lp/compose-multiplatform/ ... however, iOS support is still in alpha, and Web is "experimental". If... - Source: Hacker News / about 1 month ago
On my last post I talked about how I recently started learning react native to build an idea I've had for a mobile app, this time around I want to dive a little deeper into react native. - Source: dev.to / about 1 month ago
jQuery - The Write Less, Do More, JavaScript Library.
Luxand.cloud - Accurate and fast face recognition API for web/mobile applications
Flutter - Build beautiful native apps in record time 🚀
Kairos - Facial recognition & mood detection API
Babel - Babel is a compiler for writing next generation JavaScript.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.