Infrgy LLC is showcasing the next stage of their innovative Wireless Power Transfer (WPT) technology at the University of Kashmir. This development employs beamforming alongside Artificial Intelligence (AI) and Software-Defined Radio (SDR) to direct wireless signals in specific directions, enhancing signal strength and minimizing interference. These technologies collectively have the potential to make wireless power transfer more precise, adaptable, and scalable than ever before. Parvez Rishi, co-founder of Infrgy, expressed: “We are excited to collaborate with Professor Rouf Ul Alam Bhat to further develop our Energy Harvesting and Wireless Power Transfer technologies.
While traditional RF wireless power transfer methods typically deliver power ranging from microwatts to milliwatts, our innovations employing AI beamforming can deliver many watts over extended distances.” The core idea of wireless power transfer relies on electromagnetic fields to transmit energy over a distance. However, due to inherent propagation losses, much of the energy can dissipate into the environment, leading to reduced efficiency. Beamforming, a technique initially designed for communication systems, directs electromagnetic waves toward a specific target by utilizing constructive interference from multiple antennas. By concentrating the energy stream, beamforming reduces losses and improves the effective transfer distance. Software-Defined Radio is essential, offering a flexible, reconfigurable platform to manage antennas and modify transmission parameters in real-time.
Unlike conventional hardware-restricted systems, SDR can adapt dynamically to changing conditions. When paired with AI, SDR-based beamforming becomes intelligent, capable of learning user locations, anticipating energy requirements, and optimizing transmission strategies for peak efficiency. AI adds a layer of autonomous intelligence to the energy delivery process. The combination of Artificial Intelligence and Software-Defined Radio with beamforming techniques marks a substantial advancement in Wireless Power Transfer technology. This integration allows systems to adapt, learn, and optimize in real time, ensuring greater efficiency, reliability, and scalability compared to traditional methods. Potential applications span consumer electronics, electric vehicles, medical systems, and even global renewable energy infrastructure.
Despite challenges such as safety standards, regulatory frameworks, and cost optimization, the fusion of AI, SDR, and beamforming indicates a future where power can be transmitted as seamlessly as data, fundamentally changing humanity’s relationship with energy.