Welcome
This is the home page of the MILESTONE - a real-tiMe aI-enabLed workEr Safety preservaTiON systEm project, which is funded by TrialsNet
About
Worker safety is of paramount importance, especially regarding public infrastructure such as roads, lights, power lines, and public buildings, where workers are exposed to multiple danger sources such as weather conditions and passing vehicles. The MILESTONE project offers a secure AI-enabled worker safety preservation system, by leveraging Plegma Labs' IoT platform that provides AI computer vision capabilities, coupled with ExcID's data space platform that provides digital twining functionality, rich data access API, and fine-grained access control.
Specifically, MILESTONE will utilize real-time data from IoT devices, such as cameras and drones, into an AI engine to monitor if public infrastructure workers comply with the required safety rules, such as wearing helmets, vests, gloves, and other protective gear, and will inform safety managers with real-time alerts, leading to the prevention of serious accidents. These IoT devices are strategically placed at public infrastructure sites where workers operate on construction or maintenance activities. MILESTONE's AI engine can identify irregularities, such as a worker without a helmet or individuals entering a restricted area, and immediately alert safety managers. MILESTONE's AI engine will utilize state-of-the-art computer vision models with deep learning algorithms. Access to real-time data, will be mediated through a data space enabler: a collection of modules that provide secure, interoperable, and flexible data access. MILESTONE will leverage a FIWARE-powered platform for this purpose.
News
- 21 Jun. 2024 MILESTONE consortium members participate in TrialsNet 5th plenary meeting that took place in
Turin, Italy.
