Case study- Workforce Activity Detection

AI Powered Workforce Activity Detection

Summary

As a leader in the commercial building industry, our client faced the challenge of efficiently enhancing workforce activity amongst 300+ employees. To overcome this challenge, our client needed an AI solution partner to create an AI-based solution focused on detecting individuals within a specified area, particularly workstations. Folio3 AI built an AI solution using computer vision for our Australian client for actionable insights and generation reports.

About the Customer

Established in the early 2000s, our client is a renowned high-quality commercial cladding and glazing solutions provider in Australia. Their commitment to service excellence has positioned them as a trusted partner in the commercial building industry.

  • Team composition

    4 members

  • Expertise used

    Machine Learning, Computer Vision, and Deep Learning

  • Duration

    6 Weeks

  • Services provided

    Model training, AI Image Processing, On-Premise Deployment

  • Region

    Europe

  • Industry

    Information Technology and Services

Understanding the Challenge


Committed to delivering superior service standards in the commercial building industry, our client faced the challenge of efficiently monitoring and enhancing workforce activity among its 300+ employees. To address this, the company sought an AI-based solution for precise worker detection, counting, movement tracking, and time monitoring at designated workstations.
Through harnessing AI capabilities, our client aims to optimize operations, boost productivity, and uphold their unwavering dedication to quality and safety.

Solution

Folio3 built an AI solution for the client using deep learning and computer vision techniques to extract actionable and insightful data supporting easy decision-making and action.

Custom AI Model

A tailored AI model was customized to fit our client’s specific needs to perform worker detection and time tracking.

custom ai models

Data Processing

The fine-tuned computer vision algorithms process the footage, extracting relevant data (worker activity, and time spent at workstations) for analysis. The results are stored in the application database.

data pre processing
workforce main
video retrieval

Video Retrieval
The solution retrieves recorded videos to run the AI algorithm and extract specific insights from a specified location.

data extraction

Data Extraction and Report Generation
The application efficiently extracts relevant data from processed video footage and generates insightful reports on worker activity for analysis

on premise deployement

On-Premise Deployment
The solution was deployed on-premise, ensuring data security and compliance with the client’s operational preferences.

Result

With an active AI-powered monitoring system in place, our client was able to enhance their operational efficiency and boost productivity.