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.
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Expertum 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, CompreFace seems to be more popular. It has been mentiond 2 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.
Looking into this I found Compreface (https://exadel.com/solutions/compreface/) an open source face recognition software. There are alread some controb scripts, like contrib/photils.lua, who take some images, run them through a tool, then tag them with data coming from the tool. Converting this to use Compreface looks likea promising avenue. Source: over 1 year ago
Does anyone know what the technical interview process for Senior Java position looks like for the company Exadel? Https://exadel.com/. Source: almost 2 years ago
Exadel - holy heck. They gave us talent for DAYS. Source: almost 2 years ago
Serhii Pospielov, AI Practice Head at Exadel, reviewed several no-code app builders from a developer's point of view. He tried to create MVPs on 13 different platforms, but only managed to achieve that on five (this doesn’t mean that the other eight aren’t good platforms – just that they didn’t meet his particular business need). Serhii’s favorite no-code app builders were:. - Source: dev.to / over 2 years ago
Free and Open-Source Face Recognition System that can be integrated into any system without prior AI knowledge: https://exadel.com/solutions/compreface/. Source: almost 3 years ago
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