“It is with a heavy heart that we report the passing of Mike Brown of New Orleans. Mike was an industry staple for some 30 years in the wholesale distribution business. Always one who shot straight on any topic or issue, his humor was infectious to those that knew him well. He and his wife Kathy have been very instrumental to the development and ongoing support of the LLSSA state alarm association. On a personal level, they both have been dear friends of the Lanier family and we miss him greatly already. More information at the link below. -Chris Lanier, President of LRG”
STI's redesigned exit stopper (STI-6400) is easy to install and helps prevent unauthorized use of emergency exits and fire doors. When a protected door is opened, it emits a 95/105 dB alarm and flashes. The door alarm can serve as an inexpensive security device, which helps prevent theft. To highlight the features of this product, STI posted a short video to YouTube describing its benefits and showing its design updates.
Even the latest in biometric readers can leave facilities vulnerable. What's at fault? The legacy Wiegand connection. Due to advances in technology, the Wiegand protocol can easily be hacked, disabling your access control - or worse. The Security Industry Association's OSDP protocol with Secure Channel is the best defense against hackers.
Compared to its Wiegand predecessor, the emerging OSDP standard offers:
More Security: OSDP protects readers against hacking with Secure Channel – using AES-128 encryption.
More Functionality: OSDP uses 2 wires instead of 10+, allows for multi-drop installation, supervises connections to indicate reader malfunctions, is scalable to connect more field devices, and more.
More Interoperability: Using OSDP enables communication among different manufacturers' devices.
More Consistency: Not only does OSDP provide a concise set of commonly used commands and responses, it eliminates guesswork, since encryption and authentication are predefined.
OSDP specifically applies to peripheral devices (PDs) such as card readers and other devices at secured access doors/gates and their control panels (CPs).
With OSDP, all the functions which used to require 12 or more physical wires between the door location and the access control panel (including wires for the card reader, door strike, alarm contact, and Request to Exit functions) can be fully implemented using just 2 wires.
The OSDP specification is recommended when TCP/IP, USB, or other common protocols do not lend themselves to the application. A primary advantage of OSDP is the low cost of implementation in an embedded device.
Rasilient’s New ApplianceStor72 Is Designed and Optimized for Video Analytics
Because of its importance, video analytics (also known as intelligent video or deep learning technology) is rapidly becoming a requirement instead of just a feature in video surveillance solutions. Video surveillance systems – sometimes consisting of thousands of video surveillance cameras – record tremendous amounts of video data. It’s essential to have the tools and the infrastructure to not only record this data but to optimize it and produce valuable analytics.
What are Video Analytics? Motion detection is probably the best example, but video surveillance is adding more and more complex video analytic functions every year. Facial recognition, occupancy detection, people counting, loitering detection, perimeter detection, fall detection – the list of obtainable data is endless. Specialized algorithms analyze recorded video to produce information that is helpful in a variety of industry verticals – particularly in security and law enforcement. But the video gathered can also be analyzed and used in improving business management and operations as well as in studying consumer behaviors.
Obtaining reliable and meaningful video and video analytics requires a powerful infrastructure that can accommodate and analyze the large amounts of data collected. At Rasilient, we specialize in video surveillance storage and server performance for video surveillance only and no other type of data. Our products are designed for video surveillance and because they are designed with an open architecture they are Video Management Software (VMS) agnostic and can integrate seamlessly with any VMS brand.
One of Rasilient’s newest products is the ApplianceStor72 high performance VMS server that was designed and optimized for the video surveillance market supporting video analytics. The award-winning ApplianceStor72 RGPU (AS72RGPU) delivers the performance required for the most demanding megapixel installations.
The AS72RGPU is built around high performance Nvidia families of GPU, Intel Xeon Scalable CPU, ECC memory, and IO architecture all fitting in a 1U form factor. It can be used as a dedicated analytic server or as a surveillance recording and analytic server. It is used with Rasilient’s PS5000 storage to offer simultaneous surveillance recording and forensic data analytics. The AS72RGPU’s scalable architecture also allows multiple AS72 servers to work together as requirements change in the future.
Because Rasilient has committed to providing solutions specifically designed for video surveillance, we have become a leader in helping our customers collect, store, retrieve and analyze video surveillance data for any size project. By maximizing the capability to provide meaningful and reliable video analytics with products like the new AS72RGPU, we are bringing our customers to the cutting edge of video surveillance technology.
Widespread applications for motion detection are found throughout the surveillance industry. As hardware performance continues to advance and motion detection technology has matured, it has become increasingly common for such technology to be directly integrated into network cameras. However, traditional motion detection relies heavily on the detection of pixel changes, background modeling or motion vectors, and false alarms can be triggered by swaying trees, switching between day and night mode, the movement of clouds, or even the appearance of little animals. To avoid such false activation, VIVOTEK has released the next generation of motion detection - Smart Motion Detection.
VIVOTEK's Smart Motion Detection
VIVOTEK took advantage of its extensive experience in the surveillance field and vast image databases to develop a neural network-powered detection engine for human forms. Based on a human silhouette database and rapid responses via a pre-trained deep learning model, the smart engine instantly recognizes the appearance of human forms in the video surveillance area. As humans are the objects of interest in the majority of video surveillance, the Human detection feature enables users to quickly configure installation. With Human detection, only human activities will serve as event triggers, while swaying vegetation, vehicles passing by, or animal activities in the scene will no longer trigger such events. This helps reduce both false alarms as well as the time and effort taken for camera configuration.
Robust for Any Lighting Condition
Built from a database of thousands of scenarios in day, night, and various lighting conditions, the Smart Motion’s deep learning algorithm comes with lighting models that can quickly adapt to the user’s installation. The lighting models in Smart Motion Detection can deal with high contrast sun-lit scenes, indoor lit or unlit environments, false alarms caused by vehicle headlights, or other potential distractions. Further, the embedded lighting models mean that users do not need to fine-tune the motion sensitivity for different application scenarios or at different times of a day.
VIVOTEK also provides advanced time filtering in its Smart Motion Detection technology. The settings for time filtering include two parameters: Minimum Activity Duration and Activity Merge Interval. If a fast-moving object is not to be considered as an event trigger, users can configure the Minimum Activity Duration to a span of seconds an object must stay in the detection area before an event is triggered. On the other hand, the Activity Merge Interval can be configured with the maximum number of seconds allowed to separate motions triggered by a single object. Close occurrences of motions are considered as constituent parts of a single event, so multiple discontinuous movements can be consolidated into a single alarm, thus reducing the number that need to be screened. This ensures that alarms can be triggered even when minute and discontinuous motions are detected.
VIVOTEK's smart motion detection technology improves on conventional configuration approaches that rely on the size of objects in the frame, offering instead an intuitive interface displaying how motion activity changes along a time axis in real time. This allows users to clearly apprehend whether the current configuration can accurately detect motion in the scene.
The activity data collected by the camera is displayed in comprehensive graphs. Users can monitor and compare the historical data acquired through a span of time as well as fine-tune the detection parameters easily though the graphical interface.
For Smart Motion users who chose not to use the Human detection feature, the detection threshold can be changed while observing the activities on screen. The activity chart covers a 60 second time span across the X-axis. The Y-axis indicates the percentage of alarmed pixels in the field of view. In this way, the user can ascertain whether appropriate motion sensitivity has been configured.
VIVOTEK's Smart Motion Detection enables instant recognition of human activities, effectively reduces false alarms, and avoids the time wasted for security staff to verify triggered but false events. On the initial setup, Smart Motion Detection reduces the amount of time required for installation and the chance of making configuration errors, while minimizing the number of false alarms. Smart Motion Detection readily applies to most surveillance scenes without the need for tedious configuration tasks and adjustment efforts on the site.