Let’s build something great together

    List of IT events in Q2'24

    Download the list of IT events in Q2'24!

      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.





      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


      11 months


      5 specialists

      Team involved in the project




      Computer vision and artificial intelligence device for target audience analysis


      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


        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.

        Other cases

        TL, PM, BA, Backend Developers, Frontend Developers, Data Engineers, ML Engineers, BI developers, QA Engineer, AQA Engineer
        Python, Typescript, Kubernetes, AWS, Power BI, Redis, MongoDB, PostgreSQL
        Cross-platform AI-driven Solution for Asthma Treatment
        Project Manager, Flutter Devs, DevOps Engineer, Python Developer, QA Engineer
        Android, iOS, Python, Dart, Flutter, Django, PostgreSQL
        Cloud Architect, BAs, Project Manager, DevOps Engineers, System Engineers
        Jira, Microsoft Teams, Confluence, Bitbucket, Bamboo, Jenkins, Load Runner, Selenium, ..

        We appreciate your interest in Timspark