Securing a 400,000 square feet manufacturing plant with video analytics.
December 16, 2008
United Security Alarm, Inc. implemented the video analytics system to perform automated video surveillance.
MATE-Intelligent Video, the technology leader in intelligent video surveillance systems and video analytics announces today that it provided its Trigger – a video detection unit as a part of a CCTV system upgrade for Pellerin-Milnor, the world’s renowned laundry machinery manufacturer. The system upgrade was performed by United Security Alarm, Inc. – a leading systems integrator is southeast Louisiana.
The Milnor site includes a manufacturing facility, assembly plant and an engineering center encompassing over 400,000 sq ft. 600 employees work at the site each day. The plant turns about 48 Million pounds of goods a year, shipping over 10,000 spare parts every week and receives over 10,000 pounds of raw steel, stainless and carbon steel that is kept in stock for onsite production. Protection of precious raw materials and safety of employees were the two main reasons for a security upgrade.
United Security Alarm, Inc., designed the new security plan including MATE’s video analytics as a part of the new CCTV system monitored directly from a remote central station. “We chose video analytics because it was the most effective solution to provide good outdoor detection” said Jim Waltz – Vice President of Marketing at United Security Alarm, Inc.
MATE’s Trigger an embedded video analytics encoder analyzes video, encodes it and sends real-time alarms to a 24/7 central station where an operator can review and replay the alarm for verification. Jim Waltz commented: “Video Analytics proved to be a cut above any standard motion detection appliances and the MATE’s Trigger a cost effective solution”.
“Anyone who understands the use of the video analytics technology can see the value and practicality of it.” says John Szczygiel – President of MATE, “We can now say that video analytics is in the mainstream of video and alarm management technologies”.
The Beijing National Stadium, also known colloquially as the “Bird’s Nest”, was designed to host the 2008 Olympic and Paralympic Games. This $423 million futuristic stadium is the world’s largest steel structure with a seating capacity of 80,000. The Bird’s Nest hosted the opening and closing ceremonies, athletic events, and soccer final of the 2008 Summer Olympics, from August 8-24, 2008. Digital China Information System, LTD., MATE’s partner in China provided local support for this project.
Intelligent Video has a Bright Future
January 7, 2009
An interesting article written by Gadi Piran, President and CTO at On-Net Surveillance Systems, Inc. (OnSSI) discusses video analytics growth market and areas.
For example, software suite solutions offer advanced analytics for automated detection and policy-driven analysis of events and/or the motion pattern of people, vehicles and objects. In effect, IP control solutions deliver the large scale functionality of traditional matrix switching systems with all the inherent benefits of software driven management and control.
With all of these extraordinary capabilities already embedded in today’s IP control solutions, the future of this subset of network-based video surveillance then belongs to video analytics. Some of the areas in which we can expect to see growth include:
- Algorithms – Stronger and more reliable analytic algorithms will be developed for improved motion detection. Algorithms for audio analysis (i.e. gunshots, breaking glass, etc.) and behavioral analysis are also in development as well as algorithms for predictive activity.
- Integration – As applications come together under a single platform, control will become more sophisticated and capable. For example, smart buildings will feature fiber backbones to which all devices will be connected and controlled. Building environmental controls will be integrated with video surveillance and access control as well as with external databases (i.e. HR).
- Interoperability – Open architecture and industry standards will become the norm, allowing for increased interoperability with video analytics on edge devices. As well, operational capabilities will expand will permit additional features such as the use of multiple detectors, an unlimited number of rules per camera and multi-sensory input analysis (i.e. odors, audio, etc.).
The strides made to date in video analytic technology are astounding and have ultimately changed the parameters of IP-based video surveillance. As the initiatives outlined above reach maturity, they will deliver an unprecedented ability for organizations to better ensure the safety of individuals and security of property.
How Intelligent Video enhances standard physical fence seurity ?
December 16, 2008
v Customer Needs:
Pellerin–Milnor makes world renowned laundry machinery since 1947. The facilities are protected with standard physical fence and motion sensors detectors. However this type of physical security was not adequate to stop intruders from breaching the perimeter and stealing precious raw materials. This resulted in monetary losses for the company and shipment delays while materials are replaced. Another major factor influencing the decision to upgrade the security system was for the safety of employees who might run into a theft in progress.
v The Environment
The Milnor site includes a manufacturing facility, assembly plant and an engineering center encompassing over 400,000 sq ft. 600 employees work at the site each day. The plant turns about 48 Million pounds of goods a year, shipping over 10,000 spare parts every week and receives over 10,000 pounds of raw steel, stainless and carbon steel that is kept in stock on site for production. With such a large perimeter, busy freight area and copious amount of precious raw materials in stock, the standard CCTV system in place needed an upgrade.
v System Deployed
United Security Alarm, Inc., a well established security integrator in Marrero, LA designed a new security plan including MATE’s video analytics as a part of the new CCTV system monitored directly from a remote central station. MATE’s Trigger – an embedded video analytics encoder was deployed. This allowed the operator to choose between multiple alarm rules such as Video Motion detection and Path detection. The MATE video analytics are designed for robust performance in difficult outdoor conditions. The Trigger appliance performs video content analysis, encodes the video and sends alarms to a 24/7 central station, where an operator can review and replay any generated alarms for verification.
v Customer Benefits
Adding Video Analytics to their security system helped Pellerin-Milnor to automate video surveillance reducing the need for constant and costly patrols along the fence line. The triggered alarms increase effectiveness and vigilance of operators working at the central station. “We chose video analytics because it was the most effective solution to provide good outdoor detection” said Jim Waltz – Vice President of Marketing for United Security Alarm, Inc. “Video Analytics proved to be a cut above any standard motion detection appliances and the MATE’s Trigger a cost effective solution”.
What’s the definition of Video Analytics ?
December 5, 2008
Recorded conversation between Steve Hunt from Security Dreamer and John Szczygiel – President of MATE Intelligent Video discussing what video analytics are at their core.
Video Analytics Use in Transportation Management
December 4, 2008
We often hear about Intelligent Video solutions protecting large perimeters for intrusion detection; however new useful applications are seen being deployed as video analytics get more accurate, generating fewer false alarms.
A nothern security integrator designed a new type of application using video analytics to monitor traffic and detect congestion on a high access road. 4 acres of property, put under construction for new facilities were located near a five way intersection with ramps that become congested during rush hours. Anticipating that the construction could disrupt traffic, project officials sought a way to monitor the impact of construction vehicles on the intersection and be alerted whenever a traffic jam was detected.
The solution was confronted to a few challenges:
- The intersection and monitoring location are thousands of feet apart.
- There was no infrastructure to send video for analysis via conventional wired networks.
- The analytics system needed to operate at a great distance in challenging weather conditions and provide accurate alerts to traffic congestion.
- The system needed to integrate with the customer’s video management system and also meet stringent IT Network requirements.
To respond to these challenges the integrator selected a PC based video detection unit from MATE. The automated video analytics surveillance system integrated with the video source and the customer’s video management platform. Several cameras and wireless encoder transmit video to the Control Center located half a mile from the site. From there, the Video is delivered to the Behavior Watch where it is analyzed. An email with an image of the stoppage is automatically emailed to the officials when an alarm is generated showing the vehicle that triggered the alarm helping to determine whether it was a commercial or personal vehicle. The alarm is displayed on the American Dynamics® VideoEdge® monitoring station and also recorded by the NVR.
By automating video surveillance with video analytics, it captured important data needed for the traffic analysis, cutting costs on operating expenses by reusing existing equipment and improving the site’s operations by adjusting the schedule of delivery times.
Correctional Facilities
December 2, 2008
U.S. detention centers or correctional facilities are categorized into different levels of security: