INDOOR POSITIONING WITH MOBILE IMAGE RECOGNITION AND BLE
Abstract
An experimental system is presented that allows for the recognition of objects in images using neural networks on microcomputers and the determination of the distance to objects using Bluetooth Low Energy signals. The advantages and disadvantages of the presented system are described.
References
Ameen, Salem & Siriwardana, Kangaranmulle & Theodoridis, Theo. (2023). Optimizing Deep Learning Models For Raspberry Pi. (2023). URL: https://doi.org/10.48550/arXiv.2304.13039
Jia, Churui. (2023). Application Effect Analysis for Helmet Detection Algorithm based on YOLOV5. Highlights in Science, Engineering and Technology. 39. 1214-1220. 10.54097/hset.v39i.6731.
Assunção, Eduardo & Gaspar, Pedro & Alibabaei, Khadijeh & Simões, Maria Paula & Proença, Hugo & Soares, Vasco & Caldeira, João. (2022). Real-Time Image Detection for Edge Devices: A Peach Fruit Detection Application. Future Internet. 14. 323. 10.3390/fi14110323.
Raspberry Pi 5 Product brief. URL: https://datasheets.raspberrypi.com/rpi5/raspberry-pi-5-product-brief.pdf
USB Accelerator Datasheet. URL: https://coral.ai/docs/accelerator/datasheet/
Bluetooth Special Interests Group. Bluetooth Core Specification Version 4.0, first edition, 2010. URL: https://www.bluetooth.com/specifications/specs/core-specification-4-0/
Josef Hallberg, Marcus Nilsson, and Kåre Synnes. Positioning with bluetooth. In Telecommunications, 2003. ICT 2003. 10th International Conference on, volume 2, pages 954–958. IEEE, 2003. URL: https://www.researchgate.net/publication/4010086_Positioning_with_Bluetooth
Antti Kotanen, Marko Hannikainen, Helena Leppakoski, and Timo D Hamalainen. Experiments on local positioning with bluetooth. In Information Technology: Coding and Computing [Computers and Communications], 2003. Proceedings. ITCC 2003. International Conference on, pages 297–303. IEEE, 2003. URL: https://dl.acm.org/doi/10.5555/844385.846026
Anja Bekkelien, Michel Deriaz, and Stéphane Marchand-Maillet. Bluetooth indoor positioning. Master’s thesis, University of Geneva, 2012.
Lin Ji. Increasing accuracy of location determination: Exploiting phase change reconstruction and timing measurements. Master’s thesis, Royal Institute of Technology, 2007. URL: https://www.semanticscholar.org/paper/Increasing-Accuracy-of-Location-Determination-%3A-and-Ji/cfafdc9002449529ccc9437d811deb1165e69965
