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Real-time edge parking lot detection system

Project
17001 I2PANEMA
Type
New system
Description

An AI-based parking lot detection has been developed. Detection algorithms have been transformed to be used on an edge device, accelerated by a tensor processing unit (TPU). The edge device is wirelessly connected to the I2PANEMA backend server using LoRaWAN to provide parking lot occupancy data in real-time. The system can make energy-efficient yet accurate object detection.

Contact
University of Rostock
Email
frank.golatowski@uni-rostock.de
Technical features

Tensor processing unit, LoRaWAN, Compressed AI models

Integration constraints

Currently based on a public parking area

Targeted customer(s)

Logistic Companies, Port owners

Conditions for reuse

Adaptation to local conditions (camera position, angle, structure of parking area, targeted vehicles)

Confidentiality
Public
Publication date
01-01-2022
Involved partners
Materna Information & Communications SE (DEU)
University of Rostock (DEU)