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| Funder | Vinnova |
|---|---|
| Recipient Organization | Unknown |
| Country | Sweden |
| Start Date | Jun 18, 2024 |
| End Date | Apr 30, 2025 |
| Duration | 316 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swedish Research Council |
| Grant ID | 2024-01238_Vinnova |
Purpose and goal: ** Denna text är maskinöversatt **
AI-analysis of 3D lidar data to detect and classify vehicles and people at entrances to mines and entrances to industrial areas to increase safety and productivity. Integration with ID systems means that you can also detect unauthorized persons and detect deviations. Expected results and effects:
Expected results of the project include a concept of an application based on the lidar technology and Flasheye´s software. The solution can be integrated with the customer´s system, e.g. ID system or quality management. The AI analysis makes it possible to make an accurate classification between different vehicles that have similar dimensions.
Expected results of the application include improved monitoring, faster response to incidents, reduced risk of accidents and more efficient management of work flows, leading to a safer and more productive work environment. Approach and implementation: ** Denna text är maskinöversatt **
The project includes 3 work packages where John Carlson is project manager and developers will take responsibility for their deliveries within the project, both using existing data we have from a customer and developing the new concept that is built on AI and not just dimensions. In connection with the project, we also wish to deepen the collaboration with the customer who already has a sensor in their entrance and extract even more information from it.
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