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The NeuroVoice chip is designed to address common challenges faced by voice processing devices, such as efficient power consumption and data processing in noisy environments. This ultra-low-power chip implements NASP technology to ensure continuous on-device processing, enabling effective voice recognition and command execution without requiring cloud connectivity. It is ideal for applications in smart home devices and personal wearables due to its energy-efficient design. NeuroVoice excels at extracting and amplifying human voices in noisy surroundings, providing a clear audio experience for various consumer applications. Additionally, it supports features like voice authentication and speaker recognition, making it a versatile component for devices requiring advanced voice identification capabilities. Due to its low power needs, this chip ensures the longevity of battery-operated devices, enhancing their usability and consumer appeal. The integrated NASP technology allows NeuroVoice to bypass background noise efficiently, a feature extremely beneficial for applications in bustling environments. This positioning makes it an excellent choice for developers looking to create robust, user-friendly voice-activated systems. Its adaptability ensures seamless integration into existing infrastructure, facilitating a swift transition to more advanced voice technology ecosystems.
NeuroSense is a highly efficient AI chip engineered for use in wearables, focusing on reducing power consumption while enhancing the accuracy of health monitoring metrics, such as heart rate. Unlike traditional methods that heavily rely on cloud connectivity, NeuroSense executes all data processing locally using NASP technology. This chip ensures increased precision in measuring heart rates in motion by leveraging a simple PPG configuration, which translates to a more extended operational lifespan of wearables without frequent charges. One of NeuroSense's significant advantages is its ability to distinguish human activity levels, adjusting its operations accordingly to offer precise activity recognition capabilities. This functionality allows wearables to classify activities into categories such as rest or intensive activity accurately. Furthermore, the chip facilitates the inclusion of additional monitoring parameters like oxygen saturation and stress levels, broadening its application range. With a small IC footprint, NeuroSense is not only cost-effective but also facilitates quicker time-to-market for new devices. Its integration enables significant power efficiency gains, helping prolong wearable battery life significantly, thus allowing consumers to enjoy uninterrupted functions for extended periods.
VibroSense is crafted for vibration analysis, especially within industrial IoT environments. This chip is built using Polyn Technology's NASP technology to create a platform that processes vast quantities of sensor data locally, drastically minimizing the data that must be sent for remote processing. This feature results in considerable reductions in operational and capital expenditures. A standout feature of the VibroSense chip is its ability to identify machinery health through vibration patterns, providing predictive maintenance capabilities that facilitate timely intervention before serious equipment failures occur. This is particularly useful in complex systems where traditional vibration data analysis can be challenging due to noise and other environmental factors. The low power consumption of the VibroSense chip makes it suitable for energy-harvesting solutions, which are vital in remote and autonomous plant operations. Its adaptability to low-power wide-area communication standards further reduces the costs of industrial deployments, solidifying VibroSense as a crucial tool in reducing operational complexities in industrial settings.
VibroSense for Tire Monitoring is specifically developed for enhancing vehicle safety by providing real-time tire-road friction data. Paired with a standard TPMS, this chip offers unrivaled accuracy in detecting changes in tire footprint conditions, integrating seamlessly with vehicles' ADAS to improve driving safety and stability, particularly in autonomous vehicles. Through NASP technology, VibroSense operates with minimal energy consumption while transmitting friction data promptly to onboard systems. This real-time data processing allows vehicles to respond more swiftly to changes in road conditions, effectively reducing stopping distances and optimizing tire performance across various surfaces. The chip's ability to function at ultra-low power levels makes it feasible for integration into energy-restricted environments like tire cavities, where traditional sensors would quickly deplete available power resources. This advanced capability facilitates safer, quicker, and more economical deployments in modern smart tire applications, boosting safety standards across automotive industries.
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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