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Prism - Always-on monitoring tarjoaa Unleash Live

Tekoälypohjaisen videoanalyysialustan kehittäjä, joka on suunniteltu tarjoamaan välittömiä tietoja kustannusten alentamiseksi, tuottavuuden parantamiseksi, tarkkuuden lisäämiseksi ja turvallisuuden parantamiseksi. Yhtiön alusta käyttää tekoälyalgoritmeja videovirtojen kohteiden seuraamiseen ja seuraamiseen CCTV: n, ilmakameroiden, robotiikkakameroiden ja antureiden kautta, jolloin asiakkaat voivat tarjota välittömiä päätöksentekoominaisuuksia kenttätoimintojen parempaan hallintaan.

Miksi Continuous live stream monitoring across high-activity sites?

Prism is enterprise operational intelligence software for Mining, Resources, Oil & Gas and critical infrastructure operators running continuous live stream monitoring across fixed cameras. It connects to existing cameras or VMS systems and applies AI detection to live video streams. It turns operational events into alerts, maintenance triggers and compliance records, enabling operations teams to act on current intelligence

Hyödyt

  • Continuous monitoring without continuous staffing. AI detection runs across every connected camera simultaneously, surfacing events that matter and suppressing false positives, so operations teams manage by exception rather than watching feeds.
  • No rip-and-replace deployment. Prism connects to existing cameras, analog or IP, and integrates with your VMS infrastructure. Existing hardware investment is preserved and the intelligence layer is added on top.
  • Centralized, accessible evidence for compliance and incident response. Every detection event is logged with source imagery, timestamp and geospatial context, giving safety, compliance and insurance teams an auditable operational record.
  • Detection performance that improves with your data. AI models in the AI App Store are tuned to your specific assets and environments over time, so detection accuracy compounds as operational data accumulates.

Keskeiset ominaisuudet

Käytännön sovellukset

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Rig and facility operational monitoring

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