Revolutionize Your DOOH, IoT System Management with UBOS’s Low-Code/No-Code Platform: A Case Study with Israeli-Based Startup
In collaboration with an Israeli-based startup, UBOS has created an MVP for a DOOH (Digital-Out-Of-Home) system that helps Ad publishers, Screen owners manage, and Ad creators, manage all of their operations efficiently. This innovative platform helps to manage the entire operations by displaying Ads on the screen, collecting metrics about devices, managing CPM, and metrics about Ad performance based on AI vision algorithms(library YOLOv5,YOLOv8).
Admin panel for fleet management in real-time. This panel allows for device update flow, managing all operations on the device, and ensures that everything is running smoothly. With our platform, you can stay on top of all operations related to your DOOH system , ensuring that it is always delivering the best performance possible.
Our partnership with the Israeli-based startup resulted in the creation of an MVP that incorporates cutting-edge technology to deliver a state-of-the-art DOOH system. The platform manages all operations, including Edge device management, running AI for vision, object detection, and calculating Ad performance.
17
4 months
3 UBOS Engineers
A real-time Map was created, which displayed the location of all devices within the DOOH system with status indicators, system version and Grafana logs
Display the status of all running Ads, providing users with detailed statistics based on vision AI and BLE scanner
The tool allowed users to view and manage a list of all their ads, as well as create new ads with ease. With features such as media uploading and metadata configuration, the Ads Manager provides users with the ability to customize and tailor their ad campaigns to their specific needs.
With the media types feature, users can manage all available screen types and positions where ads can be displayed. With the site’s feature, users can easily keep track of available advertising space and make informed decisions about where to place their ads.
Advanced analytics tool called Attention, allows users to easily visualize data collected by the edge device’s peripheral BLE and camera. With Attention, users can gain deeper insights into how their ad campaigns are performing and adjust their strategy accordingly. By visualizing data such as foot traffic patterns and customer demographics, users can make more informed decisions about where to place their ads and what types of ads to run.
With Device Explorer, users can view statistics from the device’s perspective, including ad show time, impressions, and a list of ads that were shown. This data can be used to optimize ad placement and improve the overall effectiveness of ad campaigns.
Powerful user permissions management feature, which allows administrators to control access to various features, modules and functionality within the system
Administrators can easily set user permissions and assign roles, ensuring that each user has access to the appropriate level of functionality based on their role and responsibilities.
The system includes a powerful feature for image labeling and attribute management, which allows users to improve the accuracy of AI-based object detection and analysis
IoT Hub allows the collection of data from all connected Edge devices, which is then stored in a Google BigQuery database for easy access and analysis.
The platform includes a NodeRed service that runs on the device side, managing real-time streaming protocol (RTSP) servers, computer vision, and object detection using CV/Yolo ML, GSM data, and BLE peripherals.
Unity3D data visualization is based on Edge device data collected in real time. This feature provides users with an immersive and interactive way to explore and analyze data collected from their Edge devices. With Unity3D, users can easily create and customize 3D visualizations that help them gain insights into their data.
