Neural Antenna Optimizer: Improving Wireless Signal Amplification through Machine Learning and Embedded Systems

Wireless Signal Amplification is crucial in various industries where reliable and strong wireless communication is essential. One can find various use cases of wireless signal amplification in different industries such as telecommunications, public safety, transportation, healthcare, warehousing and logistics etc. The traditional signal amplification methods can be high maintenance, difficult to troubleshoot and monitor as well as require technical expertise to operate. In this paper, we propose an automated wireless signal amplification module using AI that tackles these challenges and delivers better results in terms of signal quality and signal attenuation. We use artificial intelligence (AI) and embedded systems to design a compact module that can improve wireless signal amplification in a variety of industries.