ML Face Recognition Solution

ML-based application designed to track customer movements through camera face recognition technology.


  • Client: Retail Company
  • Industry: Retail, eCommerce, Logistics
  • Location: Spain, EU
  • Team: Python Developer, React Developer, Project Manager, QA Engineer, CTO
  • Timeline: 3 month
  • Services: Discovery Phase, Web Development, ML Development, Quality Assurance, Project Management
  • Tech Stack: Python, PyTorch, TensorFlow, Javascript, React, Redux
  • Problem: Minimize health risks and reduce operational expenses, providing a practical and efficient means of managing safety protocols
  • Product: Web Application with integrated ML-based face recognition tool.
  • Result: Empowered business by providing comprehensive reports on the current customer count, along with detailed data on entry and exit activity within the premises.


In our primary project objective, we prioritized the delivery of a simple yet highly effective solution for store owners. Our aim was to create a system that would make it easier for them to comply with indoor safety precautions. By doing so, we intended not only to mitigate health risks for their customers and staff but also to help reduce their operational expenses. This approach offered a practical and efficient means of managing safety protocols, particularly during challenging times when safety concerns are paramount.

Simultaneously, our client had a specific set of requirements in mind. They were in search of a team with exceptional skills in machine learning, with a particular focus on expertise in ML, PyTorch, and Python. These competencies were deemed crucial to the successful development of the solution they envisioned. By having a team well-versed in these areas, we could ensure that the technology we built would not only meet but exceed their expectations, making the project a success.

Our commitment to simplifying indoor safety compliance for store owners extended beyond just minimizing health risks and reducing operational expenses. We understood that the challenges faced by businesses during unprecedented times demanded innovative solutions. By streamlining safety protocols, our objective was to provide store owners with the tools they needed to maintain a safe environment for their customers and employees while minimizing disruptions to their operations.

To meet these goals, we knew that a specialized skill set in machine learning was essential. Expertise in ML, PyTorch, and Python formed the backbone of our technological approach. These skills were the foundation upon which we could build a solution that not only met the client's requirements but also exceeded their expectations. With the right team and the right technology, we were poised to make a substantial impact in the field of safety compliance for businesses.


Orasi is a ML-based web application, meticulously developed using the latest face recognition algorithms. With seamless connectivity to in-store monitoring cameras via IP, this cutting-edge solution empowers real-time video analysis.

Driven by state-of-the-art machine learning technology, our application accurately identifies individuals, distinguishing between those adhering to safety protocols by wearing masks and those who are not. By doing so, it effectively reduces the risk of Covid-19 transmission within any facility.

The main workflow of mask detection and recognition is following:

The web aspect leverages the Vue.js and Node.js frameworks, offering a dynamic and responsive user interface. Meanwhile, our dashboard serves as an invaluable tool for administrators, providing an intuitive interface that offers real-time insights into the facility's visitor count. This user-friendly dashboard not only displays essential data on incoming foot traffic but also incorporates an extensive statistics admin panel. This comprehensive feature set ensures that administrators have access to all the information they need to effectively manage and optimize operations while maintaining a user-friendly and accessible platform.

Experience a new level of safety and peace of mind with our innovative AI-driven product. Detect and ensure compliance effortlessly, safeguarding your environment with our Python-based web application. Let us help you prioritize health and safety with unparalleled accuracy and efficiency.


Our solution is designed to empower businesses with valuable data and insights. It provides comprehensive reports on the current customer count, offering detailed information about entry and exit activity within your premises. With this information, you can gain a deep understanding of customer behavior and occupancy patterns within your establishment, allowing you to make informed decisions to improve your operations.

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Valerii Verbovetskyi

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When you opt for the full version of our software, you gain flexibility in selecting different object classification types. This adaptability enables you to customize tracking modes based on your specific requirements. Whether you need to track different types of objects or focus on specific aspects of your business, our software can be tailored to provide optimal tracking and analysis, enhancing your decision-making capabilities.

Experience the power of our advanced analytics software and unlock valuable insights that will help you navigate the ever-evolving retail and wholesale landscape with confidence. Staying ahead of the curve is essential in today's competitive business environment, and our cutting-edge solution offers the tools to optimize operations and drive customer satisfaction, ensuring your business remains agile and successful.

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If you have a project idea or require assistance with refining and estimating your concept, don't hesitate to schedule a meeting with our team. We are more than happy to provide our support!

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