The Spectronn SiFi Router

Resilient communications and computing are key metrics for public safety applications and services. If the transmission of mission-critical data relies solely on a single public network during an emergency, even the slightest delay could be a matter of life and death. Recent history provides context for concern around network resiliency. At the 2013 Boston Marathon, cellular networks became oversaturated with users and largely unavailable for 90 minutes immediately after bombs tore through the finish line.


Working closely with police who responded to the bombings, a startup company called Spectronn developed an alternative “mobile edge computing-in-a-box” system tailored to the needs of first responders. Its SiFi multiaccess edge computing router resiliently connects devices to network and computing services. In case of complete connectivity loss, this technology is intended to provide access to mission critical applications and data on the mobile edge without internet connectivity. Multiple deployments of the technology around the country have shown that first responders using Spectronn’s system will always have a backup line of communication and computing if their local network fails either partially or completely.







Figure 1: Video object detection.







Figure 2: Video object segmentation.







Figure 3: Video object recognition.




Spectronn’s system is designed to enable first responders to bypass common connectivity issues associated with streaming high quality video footage. Typical video analytics services require data to be transmitted to a cloud server for processing. With limited bandwidth and a large distance for data to travel, this process expends potentially valuable time. Spectronn’s system is developed to send the video stream to a local edge computing device connected to the router box, enabling first responders to collect, store, process, and access higher quality video footage. Figures 1, 2, and 3 show the real-time video object detection, segmentation, and recognition capability of Spectronn’ ..

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