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The VibroSense Tire Monitoring Solution by Polyn Technology is a groundbreaking advancement in automotive safety and performance. This ultra-low-power neuromorphic chip integrates seamlessly with standard tire pressure monitoring systems (TPMS) to provide real-time assessments of tire-road friction. The innovation lies in its ability to recognize and alert drivers to changes in road conditions, enhancing vehicle safety significantly. Coupled with a standard TPMS accelerometer, VibroSense facilitates continuous monitoring with high precision, ensuring drivers receive timely notifications for any potential hazards. By addressing the limitations of current ADAS systems, which often lack in-tire friction sensors, VibroSense revolutionizes how friction is measured. The chip can drastically reduce the data load on TPMS, making it feasible to deliver real-time insights directly to vehicles’ advanced driving assistance systems. This is crucial in reducing stopping distances, particularly in challenging driving environments, thereby augmenting the overall safety and stability of autonomous vehicles. Tested extensively, the VibroSense solution stands as a promising advancement in the tire industry, offering a cost-effective and energy-efficient solution that traditional systems have struggled to provide.
The VibroSense Tiny AI Chip is a marvel of modern design, specifically tailored for the industrial IoT sector. This neuromorphic front-end chip is adept at vibration analysis, directly addressing the challenges faced in condition monitoring within industrial settings. It processes vibration data at the sensor, significantly reducing the need for data transmission and storage. This provides an effective solution to the costly process of transferring and managing large data sets typically required in predictive maintenance. By preprocessing raw data directly at the source, the VibroSense chip not only reduces transmitted data volumes but also supports long-distance communications over narrow bandwidths. This makes it a perfect fit for large-scale industrial operations where traditional methods fall short due to the high costs of data handling. Vibration signals, especially in complex machines such as turbines or engines, present immense challenges due to their intricate nature. The VibroSense chip excels in this environment by utilizing neural networks to extract meaningful information even from noisy signals, proving indispensably useful in preventive maintenance scenarios. It significantly lowers operating expenses and total ownership costs by minimizing data the cloud-based systems would otherwise manage.
NeuroVoice is an innovative tiny AI chip designed by Polyn Technology to revolutionize voice processing in mass-market hearables and smart home devices. Developed as a neuromorphic front-end chip, it focuses on overcoming challenges such as high power consumption and unreliable voice detection in noisy environments. NeuroVoice excels at providing low-latency, always-on voice processing without the need for cloud connectivity, ensuring data privacy and reducing overall costs. Primarily targeting smart microphones, voice control appliances, and hearing aids, NeuroVoice is engineered to deliver superior voice recognition and extraction capabilities. It incorporates ultra-low-power consumption technology, making it a viable choice for battery-dependent devices and enhancing product longevity. The chip enables applications such as speaker recognition, voice activity detection, and smart voice control, capable of detecting voice commands in the noisiest environments. This chip's neural networks offer unparalleled advantages in processing voice signals by efficiently extracting and recognizing voice patterns even when traditional DSP systems fall short. NeuroVoice presents a competitive edge by offering high intelligibility, energy efficiency, and a seamless user experience, which are critical for modern smart devices.
Polyn Technology's NeuroSense Tiny AI Chip is a compact yet formidable component specialized for wearable technology. As a neuromorphic front-end chip, NeuroSense tackles the common pitfalls of power-hungry and less accurate mass-market wearables. This includes fitness trackers, smartwatches, and health monitors. By implementing neuromorphic analog signal processing, NeuroSense drastically reduces power consumption, thus extending the battery life of wearable devices considerably beyond standard expectations. One of the standout features of the NeuroSense chip is its ability to achieve significantly enhanced heart rate monitoring accuracy compared to digital calculations. It performs human activity recognition locally on the device, obviating the need for cloud connectivity, which not only saves on data transfer costs but ensures privacy and security for users' data. The chip supports applications beyond mere heart rate detection, including motion detection, oxygen saturation, and sleep tracking, all crucial for advancing wearables in health and fitness monitoring. Its superior processing capabilities ensure that even in high-noise environments, accurate biometrics can be obtained efficiently, setting a new benchmark in the wearable technology domain.
Discover how POLYN Technology redefines edge AI by leveraging its NASP tech to push the frontiers of compact, energy-efficient data processing in its latest accolade. Read more
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