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Ironyun - ainvr-app

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Description

IronYun is the leading AI deep learning video search and real-time video analytics solutions company. We provide enterprise customers with hyper-converged, all-in-one Deep Learning based AI software video analytics products. Our solutions are targeted at smart cities and enterprise physical security applications.

Publisher

Ironyun

Latest Tag

3.1.0-3

Modified

April 4, 2023

Compressed Size

4.21 GB

Multinode Support

No

Multi-Arch Support

No

IronYun AI-NVR Version 3.0.0

IronYun is the leading AI deep learning video search and real-time video analytics solutions company. We provide enterprise customers with hyper-converged, all-in-one Deep Learning based AI software video analytics products. Our solutions are targeted at smart cities and enterprise physical security applications.

Our industry leading AI video analytics solutions include the following.

a) Video search of over 50 types of objects including person, face, types of vehicle (bicycle, motorcycle, car, bus, truck), backpack, suitcase, smoke/fire and weapons (handgun, rifle). b) Real-time high accuracy intrusion detection with zero false positives. c) Real-time face search and face recognition. d) License plate recognition. e) People and vehicle (bicycle, motorcycle, car, bus, truck) counting. f) Abnormal event detection (loitering, person fall, wrong direction, illegal parking). g) Real-time alert to on-site security team and remote monitoring functions.

Types: Intrusion, Search In Video

Prerequisites

  • Nvidia EGX stack
  • NVIDIA Tesla T4

License

Our application defaults to a trial license. To obtain a license key, please send an email to sales@ironyun.com. Your email should include the hashtag #NGCIronYunuser or stating that you downloaded our container from NGC.

Quickstart Guide

  1. Log in to your account on the NGC website https://ngc.nvidia.com OR create a new NGC account

  2. Get your NGC API Key Click Setup from the side menu, then click API Key from the Setup page, then Generate API Key

  3. Download the Helm Chart from NGC Helm Registry: Ironyun Helm Chart

  4. Edit the content of ironyun-ainvr/values.yaml to match your deployment

  5. On a terminal connected to EGX Manager: $ kubectl get nodes $ kubectl label nodes nvidia.com/sku=

  6. Deploy AINVR $ helm install ironyun-ainvr

  7. Check status $ kubectl get pods | grep ainvr

  8. Connect to User Interface on a browser http://: