In recent years, optical camera communication has emerged as a promising an‎d inno- vative branch of optical wireless communications, using image sensors instead of con- ventional photodetectors to enable data exchange through light. This approach has found important applications in smart environments, the Internet of Things (IoT), an‎d vehicle- to-vehicle communications. Despite its advantages, one of the main challenges affecting the performance of these systems is the impact of background light noise on the quality an‎d reliability of the communication link. This research investigates the influence of background ambient light on the perfor- mance an‎d efficiency of an optical camera communication system using an infrared wave- length transmitter. The choice of the infrared ban‎d is motivated by its advantages, in- cluding reduction of glare an‎d flicker in human vision, minimization of interference from visible-light sources, an‎d access to a wider ban‎dwidth. The performance of the system is tested in two practical scenarios: first, by examining how increasing the sensor expo- sure time affects the signal-to-noise ratio (SNR); an‎d second, by studying how the SNR changes as the distance between the transmitter an‎d the receiver increases, especially when there is background light. According to the data, the SNR can dro‎p by about 10 dB when there is 90 lux of background ambient light present, as opposed to when there is no back- ground light. These results emphasize the importance of accurately modeling optical noise an‎d designing infrared optical camera communication systems in an optimized way. This work lays the groundwork for creating a new generation of reliable optical communication technologies that can perform well under different lighting conditions.

اصغر غلامي

محمد صدقي , احسان اديب