Examples of Edge AI module applications Type1WV Coral Accelerator Module
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This video introduces examples of high-speed image classification and object (tag) detection using Edge AI.
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Play video UWB Module Demonstration for the access control with UWB
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The video shows UWB communication between door and tag devices, enabling automatic lock/unlock based on the tag holder’s movement. Please consider this as a proposal for a new system for hands-free access management.
1:55
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Play video UWB Module Demonstration of Automatic Tracking Using a Camera Platform
UWB Module Demonstration of Automatic Tracking Using a Camera Platform
We present an implementation example of lightweight and high-precision automatic tracking using UWB-based distance and angle detection, addressing the CPU load and out-of-view loss issues commonly associated with ...
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Play video Introduction of Edge AI module
Introduction of Edge AI module
The solution overcomes some of the most pressing challenges in implementing AI solutions by delivering superior noise suppression and simplifying printed circuit board design in a smaller footprint.
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Play video Type 1SC - Cellular LPWA/NTN Module
Type 1SC - Cellular LPWA/NTN Module
Murata’s modules + Skylo’s NTN technology expand the accessibility of satellite connectivity to deliver seamless communication- anytime, anywhere. Discover more about our leading connectivity module here:
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Play video Type 2FR Module – Hostless Tri-Radio Module
Type 2FR Module – Hostless Tri-Radio Module
Discover the power of Murata’s Type 2FR module, the ultimate solution for smart home connectivity. In this video, we explore the key features of this advanced tri-radio module, including its Matter-enabled capabilities, integration …
1:40
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Play video UWB Module Demonstration for UWB radar
UWB Module Demonstration for UWB radar
The Type 2HQ UWB module supports UWB radar and Two-Way Ranging (TWR). This module simultaneously detects people via reflected waves and measures the distance to UWB devices, enabling high-precision sensing that does not rely on visual input.
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