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 2 years ago

Does anyone know what the technical interview process for Senior Java position looks like for the company Exadel? Https://exadel.com/. Source: almost 3 years ago

Exadel - holy heck. They gave us talent for DAYS. Source: almost 3 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 3 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 4 years ago

AI-powered face recognition APIs are instrumental in seamlessly integrating this technology into event systems. These APIs offer the computational power needed for real-time facial analysis, enabling organizers to automate identity checks at entry points. Advanced algorithms within these APIs can handle large data volumes quickly, even in high-traffic scenarios. - Source: dev.to / 6 months ago

Museum security is not limited to monitoring artifacts; it also involves controlling access to restricted areas. AI-powered facial recognition systems offer a secure solution for managing entry to sensitive zones such as storage rooms, conservation labs, and exhibit preparation areas. With facial recognition, only authorized personnel are granted access, reducing the risk of unauthorized entry and potential theft. - Source: dev.to / 7 months ago

In the world of e-learning, personalizing the student experience is crucial for boosting engagement, comprehension, and overall academic success. One of the most innovative tools for achieving this level of personalization is AI-powered facial analysis. Through Face Analysis APIs, educators can gain valuable insights into students' engagement, attention, and emotional reactions during live or recorded lessons.... - Source: dev.to / 7 months ago

Face Detection and Anonymization for Privacy Protection Maintaining privacy while monitoring workers is often a concern. AI-driven APIs use face detection to verify that workers are present in designated areas, while also employing anonymization techniques to blur or obscure personal identifiers. This ensures efficient safety monitoring while respecting privacy laws like GDPR, balancing safety and privacy without... - Source: dev.to / 7 months ago

Traditional surveillance is often constrained by the limited capacity of humans to observe and interpret visual data in real time. AI-powered monitoring solutions greatly extend these capabilities by employing techniques like facial recognition and object detection to automatically flag suspicious behavior, unauthorized individuals, or potential threats such as weapons. These systems can operate around the clock,... - Source: dev.to / 7 months ago