Fight Detection for a Video Analytics System

Thanks to the data provided by Unidata, the client was able to develop a system for detecting fights in public spaces, meeting their goal of creating an efficient video analytics solution.

Industry:
Security, fight detection
Data:
2 weeks
Timeline:
200 videos of fight scenes
Industry:
Security, fight detection
Data:
2 weeks
Timeline:
200 videos of fight scenes

Task:

The client approached us with the goal of creating a video analytics system capable of identifying dangerous behavior, such as fights, in public places. Since there were no open datasets with such content, the client needed to rapidly collect videos of fight scenes in public and indoor locations. Given our ongoing partnership with the client, they trusted Unidata to handle this complex project.

Solution:

  • 01

    Comprehensive Data Collection:

    To fulfill the project requirements, we needed to collect 200 high-quality videos of fight scenes, shot in 4K with wide-angle cameras. We selected a variety of backgrounds and involved multiple actors for each scene.

  • 02

    Coordination with Local Talent:

    We developed the video scripts and cast actors from boxing clubs in Brest. The filming took place both outdoors and indoors, ensuring a diverse range of environments that the client could use for training their system.

  • 03

    Overcoming Weather Challenges:

    During the outdoor shoot, an unexpected snowstorm created significant challenges. Cold temperatures drained camera batteries quickly, so we used power banks to maintain consistent operation. We also had to regularly clean the cameras from snow and provide actors with hot beverages to keep them warm. Due to the weather, 10 videos required reshooting on the following day, but the project still stayed on schedule.

  • 04

    Optimized Workflow and Quality Control:

    Throughout the filming process, we conducted regular checks on video quality to ensure every detail was captured correctly. We utilized multiple cameras to provide different angles, which enhanced the final dataset’s quality.

Results:

  • Timely Completion: We successfully collected all 200 videos within the 2-week deadline.

  • Project Efficiency: The quick execution of the project enabled the client to proceed with developing their fight detection system faster than initially anticipated.

  • Client Satisfaction: The client was highly satisfied with the provided data, laying the groundwork for further collaboration.

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