Advanced face recognition software

Advanced face recognition software

Elevating Security Measures: Streamlining Processes with Our Advanced Identification Solution


A US based software development and IT consulting firm.


Aerospace Manufacturing


Since mid 2020 till present. 


AI, AWS, C#, ML,Python, Retail, Software Enhancement


Machine Learning

Uniwebb Software's Vision: Achieving 80% Accuracy in Face Recognition

Company Profile

Company: Confidential
Industry: Software Development and IT Consulting
Location:  USA
Size: 200 Employees


Uniwebb Software has spearheaded the creation of an innovative face recognition technology aimed at bolstering security and refining the process of identifying individuals. Our development was for a prominent US Based company renowned for its expertise in software development and IT consultancy within the retail sector. This client boasts a stellar history of devising, crafting, and deploying a myriad of digital solutions tailored for retail, covering an array of product lines from general goods to clothing and food items.

Globally recognized, the client provides a broad spectrum of scalable digital products, catering to a wide client demographic, including big-name international retailers and small shop owners.


The main challenge was to augment the accuracy of facial recognition within the retail sphere. Our mission was to engineer a state-of-the-art facial recognition framework that was both scalable and decentralized, utilizing a variety of algorithms to ensure precise face detection.

We faced obstacles due to the inconsistency in video quality and characteristics, mainly caused by diverse lighting conditions and the variable quality of the video frames. These issues affected the system’s ability to correctly identify and analyze facial points and surrounding features, which was crucial for the solution’s reliability and efficiency.

The images presented were affected by uneven lighting, blurriness, or a combination of both, complicating the achievement of satisfactory recognition results based on such frames.

Advanced face recognition software


To address these challenges, Uniwebb embarked on crafting a bespoke facial recognition software designed specifically for the retail industry, incorporating a suite of face recognition algorithms. These algorithms, including unmanaged and managed PCA (Principal Component Analysis) and managed eigenfaces, provided the flexibility to adapt to varying needs.

  • Unmanaged Face Recognition PCA: Utilizes PCA to identify and highlight essential facial features effectively under various conditions.
  • Managed Face Recognition PCA: Builds on the basic PCA, introducing precision management to enhance feature extraction for reliable recognition across different image qualities.
  • Managed Face Recognition Eigenfaces: Uses the eigenfaces approach for a refined selection of eigenvectors, improving efficiency in processing large image datasets.

To boost image accuracy and system performance, we integrated two OpenCV algorithms for face and eye detection, achieving consistent and dependable face recognition. Adjustments were made to enhance eye detection accuracy, significantly improving system stability and facilitating accurate image adjustments and filtering.

Efficient Batch Image Processing:

A batch image processing module was developed to streamline the processing of images from series, videos, or cameras, significantly reducing time and effort and ensuring smooth operations for large data volumes.

Integration with CCTV Systems: By integrating the facial recognition technology with existing CCTV infrastructure, we elevated surveillance capabilities, enabling precise, real-time identification in stores or warehouses. This combination not only enhances security against unauthorized entry but also improves employee management by monitoring attendance and behavior, promoting a safer and more efficient retail environment.

This solution enables access to live video feeds, allowing for the real-time analysis of faces within the video stream. Employing sophisticated algorithms, it can detect and analyze facial features from footage, enhancing situational awareness and offering a comprehensive view of employee activities through features like facial tracking.

Advanced face recognition software


The journey to develop our cutting-edge facial recognition technology began with an in-depth analysis of our client’s specific needs. We embraced the Scrum methodology to ensure an agile and efficient development process. This method facilitated daily stand-up meetings for immediate progress reports and monthly demos to showcase our progress and gather feedback from the client.

Our project management and documentation were streamlined through the use of Jira and Confluence, which allowed for effective task management and information sharing. Microsoft Teams was our primary communication channel with the client, ensuring clear and continuous dialogue.

At the core of our technical approach was the adoption of advanced algorithms for accurate face and eye recognition. A pivotal breakthrough was enhancing the system’s ability to pinpoint the centers of pupils, alongside improvements in image stabilization and normalization, addressing the challenge of variable video input quality directly.

This Agile framework enabled us to tailor a facial recognition system that not only fulfilled our client’s unique requirements but also underscored our dedication to innovation and customer satisfaction.


Our efforts culminated in a system capable of distinguishing individuals with high accuracy, even from lower-quality sources. This precision has significantly bolstered security by facilitating robust authentication protocols. Authorized personnel can now access secure areas and systems confidently, mitigating risks of unauthorized breaches. The system also supports real-time surveillance, quickly alerting security staff about any unauthorized or suspicious entry attempts.

The deployment of this facial recognition solution has proven to be highly effective, offering a reliable, efficient, and secure means of identification and authentication. Its impact extends beyond security, enhancing access control, attendance tracking, and even enriching customer experiences across various industries.


What is the main goal of the facial recognition system developed by Uniwebb Software?

The primary objective was to enhance security and streamline the identification process within the retail industry, by accurately identifying and distinguishing individuals even in challenging conditions.

What challenges did Uniwebb Software face during the development of the facial recognition system?

The team encountered issues related to the inconsistency in video input quality, primarily due to varying lighting conditions and the disparate quality of input frames, which impacted the system's ability to accurately analyze facial features.

How did Uniwebb Software address the issue of inconsistent video quality?

By integrating advanced algorithms for face and eye detection and refining the system to improve image stabilization, rotation, and scale normalization, thereby enhancing the accuracy of the facial recognition system.

Can the facial recognition system integrate with existing security infrastructure?

Yes, the system is designed to seamlessly integrate with existing CCTV systems, enhancing surveillance capabilities by allowing precise real-time identification of individuals within stores or warehouses.

How does the facial recognition system enhance security measures?

It provides robust authentication, allowing only authorized individuals to access restricted areas and systems, and supports real-time monitoring through video surveillance, promptly detecting unauthorized or suspicious individuals.

What are the key technical innovations in the facial recognition system?

Innovations include the use of advanced face and eye recognition algorithms, the ability to detect pupil centers for improved accuracy, and enhancements in image quality through better stabilization and normalization.

What kind of accuracy does the facial recognition system achieve?

The system boasts a high level of accuracy in identifying and distinguishing individuals, even when working with lower-quality sources, significantly enhancing security and authentication processes.

Who can benefit from using this facial recognition system?

The system offers wide-ranging benefits for various sectors, including retail for enhanced security and customer experience, access control, and attendance management across multiple industries.

How does the facial recognition system improve customer experience and operational efficiency in the retail sector?

By streamlining the identification process, it not only enhances security but also facilitates a more personalized shopping experience. It can also optimize employee management by monitoring attendance and behavior, contributing to a safer and more efficient operational environment.


Accuracy rate in identifying faces


Time saving for employees’ verification


advanced deep learning solutions

Business Analyst




Project Manager


Back-end Developer


Data Scientist


Front-end Developer


machine learning
Senior Data Scientist
18+ years of experience

Michael P.

Data scientist and machine learning engineer with 18+ years of experience in turning data into strategic insights and meaningful solutions. Mainly focused on financial, ad-tech, and e-commerce domains.

Apache Spark | Keras | Matplotlib| NER | NLTK | Numpy | OpenCV | Pandas | Plotly | Python | Pyspark | PyTorch | Scikit-learn | Seaborn | Spacy | Tensorflow

machine learning
Senior Data Scientist
6+ years of experience

Andrew D.

Strategic and inquisitive developer with more than 6 years of experience in programming using Python, R and C++, and the development of data science and machine learning algorithms.
AWS | Azure| C++ | Cafe | Keras | Matplotlib | OCR | OpenCV | Pandas | Ploty | Python | PyTorch | R | Scikit-learn | Tensorflow | Tessaract 
machine learning
Senior Data Scientist
5+ years of experience

John K.

Talented Data scientist and machine learning engineer with more than 5 years of experience in building, improving and maintaining data-driven projects to help build critical solutions to difficult problems.

AWS | Docker | Keras | Kubernetes | Matplotlib | NLTK | Numpy | OpenCV | Pandas | Plotly | Python | Pyspark | PyTorch | Scikit-learn | Seaborn | Spacy | Tensorflow




.NET 3.5 | SP1 | C# | 3.0 | Platform SDK



AWS (Kinesis Video Streaming) |  EC2 | EKS |ECR | S3 |Glue



Jenkins | Docker | Docker Compose 

machine learning

Machine Learning

OpenCV | ONNX Runtime | Armadillo | Scikit-learn | Numpy | Pandas

Version control system


Git | Github

Contact us!

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    • one Having received and processed your request, we will get back to you shortly to detail your project needs and sign an NDA to ensure the confidentiality of information.
    • 2 After examining requirements, our analysts and developers devise a project proposal with the scope of works, team size, time, and cost estimates.
    • 3 We arrange a meeting with you to discuss the offer and come to an agreement.
    • 4 We sign a contract and start working on your project as quickly as possible.

    Have some questions?

    What types of projects does Uniwebb Software specialize in?

    Uniwebb Software specializes in a wide range of software development and IT consulting projects, tailored to meet the unique needs of our clients. Our expertise encompasses turnkey product development, where we handle projects from conception through to launch, ensuring a seamless, end-to-end delivery. We are also proficient in IT staff augmentation, providing skilled professionals to bolster your existing teams for short-term or long-term projects.

    Our project portfolio includes but is not limited to:

    • Custom Software Development: Crafting bespoke software solutions designed to address specific business challenges, including web applications, mobile apps, and enterprise software.
    • E-commerce Solutions: Developing comprehensive online retail platforms, integrated with advanced functionalities for a superior shopping experience.
    • Blockchain Technology: Implementing secure, transparent blockchain systems for various applications, including cryptocurrencies, smart contracts, and supply chain management.
    • Artificial Intelligence & Machine Learning: Building AI-driven applications and data analysis tools to automate processes, enhance decision-making, and provide innovative services.
    • Internet of Things (IoT): Designing and deploying IoT solutions to connect and manage devices, collect data, and derive actionable insights for smart home, industrial, and commercial applications.

    We cater to a broad spectrum of industries, including healthcare, finance, education, retail, and more, leveraging the latest technologies to deliver solutions that drive efficiency, growth, and competitive advantage. Whether you're looking to launch a new product, enhance existing systems, or scale your operations, Uniwebb Software has the expertise and experience to bring your vision to life.

    How quickly can I expect a response after submitting the form?

    At Uniwebb Software, we prioritize swift and effective communication, understanding that time is of the essence in the dynamic world of technology and business. Once you submit your inquiry through our contact form, you can expect an immediate acknowledgment of receipt. Our team is committed to providing a substantive response to your specific requests or questions within 24 hours.

    For project initiations, we're structured to move quickly and efficiently—ready to begin your project within just 3 days of finalizing the requirements and agreements. We've streamlined our processes to eliminate delays and bottlenecks in decision-making chains, ensuring that we can respond immediately and adapt to our customers' needs without compromising the quality of our work or the integrity of our solutions.

    Your project’s success is our top priority, and our rapid response rate reflects our dedication to not just meeting but exceeding your expectations.

    What is the process after I submit an inquiry?

    Once you submit an inquiry to Uniwebb Software, here's the structured process we follow to ensure your project is kicked off smoothly and efficiently:

    1. Initial Review: Our team promptly reviews your inquiry to understand the scope and requirements of your project. This step is crucial for us to gather the necessary insights to address your needs effectively.

    2. Contact and Consultation: Within 24 hours of your inquiry submission, we'll reach out to you for an initial consultation. This conversation allows us to delve deeper into your project details, clarify any questions, and discuss your vision and objectives.

    3. Requirement Analysis: Based on our consultation, our analysts and project managers work to outline a detailed requirement analysis. This phase helps us identify the specific services, technologies, and resources needed to bring your project to life.

    4. Proposal Submission: With a clear understanding of your requirements, we draft a comprehensive project proposal. This document includes the scope of work, projected timeline, team composition, and a detailed cost estimate.

    5. Feedback and Revision: We encourage you to review our proposal and provide feedback. We're committed to flexibility and collaboration, and we'll revise our proposal as needed to align with your expectations and requirements.

    6. Agreement and NDA: Once the proposal meets your satisfaction, we proceed to formalize our partnership through a contract agreement. If required, a Non-Disclosure Agreement (NDA) is also signed to ensure the confidentiality of your project information.

    7. Project Kickoff: With all formalities completed, we officially kick off your project. Our project manager will outline the next steps, introduce you to your dedicated team, and set up the communication channels for ongoing collaboration.

    8. Ongoing Support and Communication: Throughout the project lifecycle, you'll receive regular updates, and we'll be available for any questions or adjustments you may need. Our goal is to ensure a transparent, efficient, and collaborative process from start to finish.

    At Uniwebb Software, we're dedicated to turning your vision into reality with a seamless, transparent, and client-focused approach.

    How does Uniwebb Software ensure the confidentiality of project ideas and data?

    Uniwebb Software takes the confidentiality of your project ideas and data seriously. We ensure protection through legally binding Non-Disclosure Agreements (NDAs), secure data handling practices, and stringent access controls, maintaining the highest level of privacy and security for your valuable information.

    Can Uniwebb Software provide references or case studies for similar projects?

    Absolutely. Upon request, Uniwebb Software can share references and case studies that demonstrate our expertise and success in similar projects, offering insights into our process and outcomes.

    How are project costs and budgets determined?

    Project costs are determined by the scope, complexity, and duration of your project. We provide transparent estimates after a thorough analysis of your requirements, ensuring alignment with your budget and goals.

    What is the typical timeline for a turnkey project development?

    Timelines vary based on project complexity and requirements. Generally, a turnkey project may take anywhere from a few weeks to several months. We outline a detailed timeline in our initial proposal.

    How does Uniwebb Software select the team for a project?

    Unlike other firms that may need to search and find talent for each project, Uniwebb Software boasts a diverse in-house team of experts across various domains and technologies. This allows us to promptly assemble the perfect team for your project, tailored to your specific needs without the delay of sourcing external talent, ensuring an efficient kickoff and streamlined project execution.

    What involvement is expected from the client during the project?

    Client involvement is crucial for project success. We encourage regular communication, feedback, and decision-making collaboration throughout the project lifecycle.

    How does Uniwebb Software handle changes or new requirements during the project?

    Uniwebb Software employs Agile methodology to manage projects, allowing us to gracefully accommodate changes or new requirements. This approach ensures flexibility and adaptability, with iterative cycles that welcome evolving needs and feedback. Regular sprint reviews provide opportunities to assess and integrate changes, ensuring the project remains aligned with your goals while efficiently managing scope, timeline, and costs.