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Cost-Effective Optical Wireless Sensor Networks: Enhancing Detection of Sub-Pixel Transmitters in Camera-Based

Idaira Rodríguez-Yánez¹, Víctor Guerra², José Rabadán¹

¹Institute for Technological Development and Innovation in Communications (IDeTIC), Universidad de Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas de Gran Canaria, Spain.

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Summary

This summary is machine-generated.

A new algorithm enhances Optical Camera Communication (OCC) by enabling transmitters and receivers to work without camera modifications. This improves transmitter capacity and overcomes proximity limitations for reliable wireless data transfer.

Keywords:

optical camera communication sub-pixel wireless sensor networks

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Area of Science:

Computer Science
Electrical Engineering
Wireless Communication

Background:

Optical Camera Communication (OCC) uses lamps and image sensors for wireless data transfer, offering energy efficiency.
Current OCC methods face challenges with transmitter-receiver proximity, causing sub-pixel projections and channel dependency.
Existing solutions limit camera functionality and struggle with multiple transmitters.

Purpose of the Study:

To introduce a novel sub-pixel optical transmitter discovery algorithm for OCC.
To enable OCC in static scenarios without camera modifications.
To overcome limitations of proximity, transmitter size, and increase transmitter capacity.

Main Methods:

Developed a sub-pixel optical transmitter discovery algorithm.
Implemented the algorithm in Python utilizing multiprocessing for efficiency.
Tested the algorithm under various lighting conditions (night, indoor, outdoor daylight).

Main Results:

Achieved 100% detection rate in nighttime scenarios.
Obtained 89% detection rate indoors and 72% outdoors during daylight.
Demonstrated minimal false positives and processing times under 1 second.

Conclusions:

The algorithm effectively enables OCC without camera modifications, increasing transmitter flexibility.
Detection rates are influenced by lighting and transmitter types, but overall performance is robust.
The algorithm is suitable for integration as a web service or data conversion component.