Amini, A; Benoit, N; Russell, H A J. Geological Survey of Canada, Open File 9065, 2023, 17 pages, https://doi.org/10.4095/332258
<a href="https://geoscan.nrcan.gc.ca/images/geoscan/gid_332258.jpg"><img src="https://geoscan.nrcan.gc.ca/images/geoscan/gid_332258.jpg" title="Geological Survey of Canada, Open File 9065, 2023, 17 pages, https://doi.org/10.4095/332258" height="150" border="1" /></a>

The expanded detection capabilities enable homeland security agencies, EOD units, defense forces and first responders to detect and identify a wider range of dangerous explosives and narcotics evolving threats within seconds.

The packaging solutions will be on display at Pack Expo Las Vegas Booth N-10942, September 11-13. 

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Multi-view data capture permits free-viewpoint video (FVV) content creation. To this end, several users must capture video streams, calibrated in both time and pose, framing the same object/scene, from different viewpoints. New-generation network architectures (e.g. 5G) promise lower latency and larger bandwidth connections supported by powerful edge computing, properties that seem ideal for reliable FVV capture. We have explored this possibility, aiming to remove the need for bespoke synchronisation hardware when capturing a scene from multiple viewpoints, making it possible through off-the-shelf mobiles. We propose a novel and scalable data capture architecture that exploits edge resources to synchronise and harvest frame captures. We have designed an edge computing unit that supervises the relaying of timing triggers to and from multiple mobiles, in addition to synchronising frame harvesting. We empirically show the benefits of our edge computing unit by analysing latencies and show the quality of 3D reconstruction outputs against an alternative and popular centralised solution based on Unity3D.

Comcast hasn't enforced data cap since March 13 because of pandemic.