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    computer vision device

    Computer Vision Solution for Effective Advertising Placement

    Our team developed an on-premises device based on AI technologies for detecting individuals and showcasing advertisements on DOOH displays in transportation or outdoor locations.

    #ai

    #webdevelopment

    #ecommerce

    Client*

    The client is a world-leading provider of comprehensive visual technology solutions.

    *We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

    Project in numbers

    duration

    11 months

    team

    5 specialists

    Team involved in the project

    industry

     E-commerce

    solution

    Computer vision and artificial intelligence device for target audience analysis

    technologies

    Python, Pytorch, Cnvrg.io, AWS SageMaker, GCP Vertex AI, Fastdup, Pandas, Numpy, Scipy.

    1 x Lead Data Scientist

    2 x Data Scientists

    2 x Data Engineers

    Let’s build something great together

      Challenge

      The fundamental idea was to create a device harnessing AI technologies for analyzing captured images, discerning the audience’s average attributes, and enabling the presentation of targeted advertising.

      Related objectives

      Deploy the computer vision model on edge devices with limited GPU and RAM

      Train the AI computer vision model with labeled data

      Solution & functionality

      In collaboration with the client’s team, Timspark created a compact on-premises computer vision device that can capture and analyze visual data.

      Machine learning model training for successful object recognition

      The team developed and fine-tuned the classifier model to meet the project’s unique requirements. The model analyzes received images, determines the average class among all attributes of captured objects, and subsequently identifies the target audience for the advertisement.

      Deployment on Jetson Nano and Jetson Xavier

      To address challenges linked to the limited memory and slow data processing, the model was transformed into ONNX and TensorRT formats, ensuring its seamless deployment on edge devices such as Jetson Nano and Jetson Xavier.

      Results and business value

      Our specialists successfully developed a classifying model that detects and tracks individuals within the camera’s field of view. The model analyzes the captured visual data, accurately identifying selected class among all attributes, and displays targeted advertisements on nearby screens in accordance with the specified class request.

      Benefits for client

      The client successfully applies the computer vision software to show the advertisement effectively to the relevant audience.

      Based on the successful results, we are going to improve the model further in our ongoing collaboration.

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      We appreciate your interest in Timspark