Hardware starter Xnor has created a groundbreaking new wireless AI camera that is capable of running on solar power, enabling it to transmit data almost indefinitely. This innovative prototype AI camera requires no battery or external power source and is capable of capturing imagery at a resolution of 320 x 320 pixels. This makes it an ideal solution for a variety of applications where traditional power sources are impractical or unavailable.
Advanced Processing Capabilities
On board, an FGPA chip handles processing, and is loaded with a state-of-the-art object recognition algorithm. This chip is already compatible with a few different low-energy wireless communication protocols, making it versatile for various uses. Mohammad Rastegari, Xnor’s CTO, explains a little more: “We’re investigating several use-cases for these devices right now. From large-scale civilian projects, to monitoring inside the cabins of autonomous cars, to attaching cameras to drones.” This versatility opens up numerous possibilities for the deployment of these cameras in both urban and remote environments.
For instance, in large-scale civilian projects, these cameras could be used for monitoring public spaces, enhancing security, and providing real-time data for smart city applications. In autonomous vehicles, the cameras could monitor the interior of the car, ensuring passenger safety and comfort. When attached to drones, these cameras could be used for environmental monitoring, agricultural assessments, and disaster response, providing critical data without the need for frequent battery changes or recharges.
Check out the videos below to learn more about the capabilities and potential applications of this innovative technology.
Revolutionary AI Technology
“Xnor’s award-winning technology introduced a novel network architecture designed for the edge. Xnor builds on top of YOLO and other state-of-the-art AI innovations to build custom models of unparalleled efficiency and accuracy, and optimized by being generated using your data and tuned for your hardware.” This means that the AI models used in these cameras are not only highly efficient but also tailored to specific use cases, ensuring optimal performance.
The use of edge computing in these cameras is particularly noteworthy. By processing data locally on the device rather than relying on cloud-based servers, the cameras can operate more efficiently and with lower latency. This is crucial for applications where real-time data processing is essential, such as in autonomous vehicles or security systems.
Moreover, the solar-powered aspect of these cameras makes them environmentally friendly and cost-effective. Traditional surveillance systems often require significant power and maintenance, but these cameras can operate independently for extended periods, reducing both energy consumption and operational costs.
For more details, jump over to the official Xnor website by following the link below.
Source: : Tech Crunch
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