IP Video Protecting Canadian Youth Shelter

IndigoVision’s complete IP video solution has provided an invaluable CCTV surveillance upgrade for Toronto-based Covenant House, the country's largest shelter for homeless youth.

More than just a place to stay, Covenant House provides 24/7 crisis care and has the widest range of services under one roof, including education, counseling, health care and employment assistance.

The CCTV upgrade was designed and installed by IndigoVision’s local partner, Intercon Security, and involved the replacement of an DVR-based analog system, which delivered poor video quality, limited storage and had no ability for remote monitoring.

The capability to deliver very high quality video images and to view recorded incidents remotely, were just two of the reasons for choosing an IP video system against upgrading to a newer DVR model. The flexibility and scalability of IP video means Covenant House can also easily and inexpensively add new cameras to the system in the future.

“The new IndigoVision system is a significant improvement over the old system, providing us with excellent video quality and much improved recording facilities,” said Maydene Herman, facilities coordinator for Covenant House. “The ability to remotely review sensitive incidents in a secure environment has been a great benefit for our organization.”

All of the original 32 analog CCTV cameras were re-used and live and recorded images from all the cameras are viewed on ‘Control Center’, IndigoVision’s IP video and alarm management software.

Another key benefit for Covenant House was that ‘Control Center’ software is license-free, which meant that they deployed 5 workstations in different parts of the building for no more than the cost of an entry-level PC at each location -- something that would have been very costly with a DVR-based solution.

Each of the analog cameras is connected to an IndigoVision 8000 transmitter/receiver module which converts the camera feed to digital video for transmission over the network. The 8000 modules can also transmit high-quality synchronized audio which can be recorded with the video.

The DVR was replaced with an IndigoVision NVR with 5 Terabyte of storage. Unlike DVRs, IndigoVision NVRs are location independent and can be installed at any point on the network and deliver high-quality recorded video for viewing on any ‘Control Center’ workstation.

IndigoVision’s MPEG-4 compression technology ensures that both live and recorded DVD-quality video can be streamed around the network with minimum bandwidth requirement. This allowed Intercon Security to install the entire IP video system on the client’s existing network, further reducing the upgrade costs.

Featured

New Products

  • Hanwha QNO-7012R

    Hanwha QNO-7012R

    The Q Series cameras are equipped with an Open Platform chipset for easy and seamless integration with third-party systems and solutions, and analog video output (CVBS) support for easy camera positioning during installation. A suite of on-board intelligent video analytics covers tampering, directional/virtual line detection, defocus detection, enter/exit, and motion detection.

  • Connect ONE’s powerful cloud-hosted management platform provides the means to tailor lockdowns and emergency mass notifications throughout a facility – while simultaneously alerting occupants to hazards or next steps, like evacuation.

    Connect ONE®

    Connect ONE’s powerful cloud-hosted management platform provides the means to tailor lockdowns and emergency mass notifications throughout a facility – while simultaneously alerting occupants to hazards or next steps, like evacuation.

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge.