December 19, 2024 • 2 min read

Face Recognition AI

by Soft Industry Alliance

Face Recognition AI is a cutting-edge system designed for the recognition and categorization of emotions by analyzing multimedia content, including videos (e.g., .mp4), audio (e.g., .mp3), and text files (e.g., .txt). This system identifies emotions such as happiness, anger, and sadness, providing valuable insights for various applications, from assessing the psychological and emotional states of employees to enhancing customer service and review analysis.

Goal

  • Enhance HR Operational Efficiency: Increase the operational efficiency of HR departments by providing comprehensive emotion recognition and analysis tools.​
  • Improve Emotion Recognition Accuracy: Enhance the speed and accuracy of detecting and categorizing emotions from multimedia content, such as videos, audio, and text.​
  • Reduce Dependency on Manual Analysis: Minimize the financial and time costs associated with manual emotional state analysis by automating the process using advanced recognition algorithms.​
  • Optimize Resource Utilization: Identify ways to boost productivity and optimize the use of available resources in HR departments by leveraging automated emotion recognition.​
  • Ensure System Robustness: Determine the optimal set of hardware and software configurations to maintain efficient and uninterrupted operation of the emotion recognition system under high loads.​
  • Facilitate Prompt Access to Emotional Insights: Develop a system that allows internal users quick and easy access to information about employees’ emotional states, enabling timely feedback and interventions.​
  • Integrate with Existing Systems: Seamlessly integrate the emotion recognition system with existing HR and recruitment systems (e.g., SIAI and SIA AI Recruit) to create a cohesive and comprehensive solution.​
  • Provide Detailed Reports and Insights: Offer detailed, customizable reports on detected emotions, including intensity levels and timestamps, to aid in better decision-making and strategy formulation.​

Result 

As a result of our work, the Face Recognition AI system has been successfully developed and implemented. This advanced solution accurately recognizes and categorizes emotions by analyzing multimedia content, including videos (.mp4), audio files (.mp3), and text documents (.txt). The system identifies key emotional states such as happiness, anger, and sadness, providing actionable insights for applications like evaluating employees’ psychological and emotional well-being, enhancing customer service, and conducting review analysis. Seamless integration with the SIAI system and SIA AI Recruit has further expanded its functionality, making it a versatile tool for diverse business needs.

Technologies

    • OS: Linux (CentOS, Red Hat, OpenSuSE)​
    • Databases: PostgreSQL​
    • Languages/Platforms: NodeJS, JavaScript​
    • Frameworks/Libraries:​
    • Express.js​
    • Various libraries for image and video recognition​
    • LVA transcription for audio analysis​
    • Servers: NodeJS server​

    SQA Standards:​

    • ISO 25010​
    • ISO/IEC 12119​
    • ISO/IEC 27000​

    Technical Environment:​

    • Docker​
    • Jenkins​
    • VM​

    Cloud Standards:​

    • Integration capabilities with various cloud services and APIs​

    Machine Learning:​

    • Utilized for facial expression recognition and voice analysis processes​

    Integrations:​

    • AI system​
    • AI Recruit system​

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