Located in Hsinchu City, Taiwan, National Tsing Hua University represents the marriage of tradition and innovation. The university has developed at an impressive rate in its original focus on science and technology, and in the addition of majors in humanities, social sciences and management. It is now seen as one of Taiwan’s premier universities, a reputation reinforced by an impressive array of alumni, including two Nobel laureates in physics, chemistry, and one Wolf prize-winner in mathematics.
Academic excellence, of course, has meant institutional growth. Today, over a thousand academic staff teach a student body in excess of sixteen thousand students across 7 colleges, 17 departments and 22 independent graduate institutes in the university.
Outgrown its security system
The campus, stretching over 240 acres and incorporating lakes, hills, sporting grounds and an elaborate network of roads, was no longer adequately protected by the schools ageing network of analogue video cameras connected through a maze of coaxial cable. Campus safety, a primary concern for university management, required an IP surveillance system that could provide high quality digital imagery across a broad range of campus locations in all weather, and at all times of the day and night.
Further, with increased vehicular traffic on the campus, an advanced traffic monitoring system capable of licence plate recognition (LPR) was required to ensure the smooth flow of traffic, and of course to safeguard the wellbeing of students, staff and visitors. In the hope that these challenges could be met through currently available technology, Tsing Hua University reached out to Goodwill Instrument Co. to create seamless third-party integration with partners from around the globe.
Goodwill Instrument Co. turned to VIVOTEK. A total of 420 IP surveillance cameras were deployed strategically across the campus and tethered together in an intelligent network of 20 unmanaged PoE switches and one managed PoE switch.
The workhorse of this application was the IB8369A Bullet network camera and its legacy predecessor, the IB8369. Designed for diverse outdoor applications, VIVOTEK’s IB8369A is equipped with a 2-megapixel sensor enabling viewing resolution of 1920x1080 at 30 fps. Imperative for large scale applications, such as Tsing Hua University, the IB8369A features VIVOTEK’s Smart Stream II technology, allowing the camera to optimise image quality for critical areas of any scene, and ensuring maximum bandwidth efficiency and savings of up to 50% on data storage.
To adapt to changing outdoor lighting conditions, the IB8369A features a removable IR-cut filter as well as built-in IR illuminators effective up to 30 metres to keep a watchful eye at all hours of the day and night. As Taiwan is prone to extreme weather events, including severe typhoons, the IB8369A was also selected for its weather-proof IP 66-rated housing and rugged IK10 design housing – protecting the camera from weather and tampering.
Tsing Hua University’s particular traffic monitoring demands called for a focused solution, and this came in the form of VIVOTEK’s IP816A-HP Box Network Camera. The IP816A-HP delivers up to 60 fps @ 2-megapixel resolution and is equipped WDR Pro technology to deliver visibility in high-contrast lighting environments. The IP816A-HP is also armed with SNV (Supreme Night Visibility), which provides a solution for enabling low-light surveillance video of sufficient quality to make the camera a powerhouse for traffic monitoring applications around the clock.
Finally, the network of 420 IP network cameras and 20 unmanaged switches were synchronised, monitored, and controlled by VIVOTEK’s AW-GEV-264A-370 VivoCam Layer 2+ Managed Switch. A PoE switch with IP surveillance management functions, the AW-GEV-264A-370 is not simply a standard Layer 2+ PoE switch, but is also able to set up and configure VIVOTEK IP cameras, network video recorders and video management software. With a single VivoCam PoE switch, security staff at Tsing Hua University are able to discover all VIVOTEK devices and deploy the university’s surveillance network system automatically, reducing security labour and reducing the chance of human error.
© Technews Publishing (Pty) Ltd | All Rights Reserved