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Video Systems and Video Analysis

Collaboration improved neural network metrics for tracking people indoors via video by 14%

Industry and use case:

Video systems and video analysis


45,000 videos, 256 GB

Project duration:

Ongoing support

Our Challenge:

The client approached us with a project to enhance their video-based people tracking system. They required bounding box detection and ID tracking for an already operational neural network. The initial data provided by the client consisted of 100 hours of video

The task at hand involved addressing instances where individuals moved beyond the camera’s field of view, causing the existing neural network to lose track. Our objective was to maintain continuity in tracking a person’s movement, both when leaving and returning to the camera’s coverage area. The client reached out to us due to a lack of in-house taggers capable of handling such voluminous and complex tasks

Our Solution:

We deployed ID Track teams in a two-stage process: the first team, comprised of 30 individuals, focused on detection and track creation. Subsequently, a second team of 6 individuals, with overlapping responsibilities, assigned a unified ID to distinct tracks, effectively addressing the issue of losing track when a person moved out of the camera’s range


  • Enhanced neural network metrics resulted in a 14% improvement in detecting individuals
  • The client now possesses a robust technology for indoor people tracking, even in scenarios involving interruptions in movement (outside and within the camera coverage area)
  • We extended our collaboration to long-term projects involving marking tracks of individuals in forest park settings

Stages of work

  • Application

    Leave a request on the website for a free consultation with an expert. Th e acco unt manager will guide you on the services, timelines, and price
  • Free pilot

    We will conduct a test pilot project for you and provide a golden set, based on which we will determine the final technical requirements and approve project metrics
  • Agreement

    We prepare a contract and all necessary documentation upon the request of your accountants and lawyers
  • Workflow customization

    We form a pool of suitable tools and assign an experienced manager who will be in touch with you regarding all project details
  • Quality control

    Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data
  • Post-payment

    You pay for the work after receiving the data in agreed quality and quantity


  • 24 hours
  • 24 hours
  • 1 to 3 days
  • 1 to 5 days
    Conducting a pilot
  • 1 day to several years
    Carrying out work on the project
  • 1 to 5 days
    Quality control
You pay for the work after you have received the data
in the established quality and quantity

Training Data

  • Quality Assurance:
  • Enhanced Data Accuracy
  • Consistency in Labels
  • Reliable Ground Truth
  • Mitigation of Annotation Biases
  • Cost and Time Efficiency
  • Data Security and Confidentiality:
  • GDPR Compliance
  • Non-disclosure agreement
  • Data Encryption
  • Multiple data storage options
  • Access Controls and Authentication
  • Expert Team:
  • 6 years in industry
  • 35 top project managers
  • 40+ languages
  • 100+ countries
  • 250k+ assessors
  • Flexible and Scalable Solutions:
  • 24/7 availability of customer service
  • 100% post payment
  • $550 minimum check
  • Variable Workload
  • Customized Solutions

Tell us about your project!

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    • Data labeling

    • Data collection

    • Datasets

    • Human Moderation

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