Amazon Rekognition
Clarifai
Google Vision AI
Kairos
OpenCV
Trueface Visionbox
Microsoft Computer Vision API
Social Mapper
Expertum AI
Luxand.cloud
Kairos
Imagga
Facia
SwiftDil
Google Vision AI
Ximilar
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.
Amazon Rekognition 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, Amazon Rekognition seems to be more popular. It has been mentiond 33 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.
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / about 1 month ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 10 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 10 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago
Clarifai - The World's AI
Luxand.cloud - Accurate and fast face recognition API for web/mobile applications
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Kairos - Facial recognition & mood detection API
Imagga - Advanced image recognition technology wrapped in powerful API.
OpenCV - OpenCV is the world's biggest computer vision library
