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Recent advancements in AI and ML technologies have paved the way for the integration of intelligent capabilities into shock sensors, driving a significant trend in the market. By leveraging AI and ML algorithms, shock sensors can analyze complex data patterns, distinguish between normal & abnormal events, and enhance the accuracy of impact detection & classification. For example, AI-powered shock sensors can differentiate between benign vibrations caused by routine activities and critical impacts indicative of security breaches or equipment failures. For instance, in February 2022, STMicroelectronics introduced its third generation of MEMS sensors, which deliver the highest accuracy for features such as activity detection, indoor navigation, and precision industrial sensing. This sensor has a Machine Learning Core (MLC), which enables onboard processing and reduces the need for cloud-based processing.
The market for shock sensors is shifting toward wireless and IoT-enabled solutions due to increased demand for connectivity, mobility, and real-time monitoring. These sensors use technologies, such as Bluetooth, Wi-Fi, Zigbee, and cellular connectivity, for remote monitoring, control, and management. They integrate seamlessly into IoT ecosystems, providing real-time insights and predictive analytics, driving market growth and innovation in various industries. For example, the Honeywell 5819S Wireless Shock Sensor is a versatile device that offers both magnetic contact and shock detection capabilities.