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.
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.
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.
VIVOTEK's Shepherd, embedded with device management functions, can easily set up multiple cameras at once. The software automatically brings up a list of all VIVOTEK devices that are connected on the network and user can manually group the cameras to apply pre-configured settings. The Shepherd supports various powerful functions, including group setting management, IP address assignment, remote reboot/restore, import/export camera settings, firmware and VADP package upgrade, exporting the server status report to track the issue. It greatly benefits system integrators and installers who often have projects that need to set up multiple cameras with the same settings at once.
VIVOTEK’s ND8312 is a H.264 8-CH Linux-based standalone NVR that supports a single 3.5" HDD up to 6TB. The ND8312 supports remote access via VIVOTEK’s VIVOCloud and iViewer apps for both iOS and Android mobile devices, enabling user access to their video anytime, anywhere. The VIVOCloud app provides instant push notification and direct video playback functionalities when triggered by an alarm notification, providing seamless security for small-sized video surveillance applications.
Furthermore, the ND8312 is fully integrated with VIVOTEK’s VAST/VAST 2 VMS, so users can enjoy the easy-to-use IP surveillance system to protect lives and property more efficiently.
With a compact size and fan-less design, the ND8312 is ideal for any small-scale video surveillance installation. It is incredibly flexible to install, supporting both wall mount and desktop placement, to increase efficiency of spatial utilization.
H.264 Compression Technology
Up to 8 Channel IP Camera Input
HDMI Video Output up to 4K Resolution
1 x 3.5" SATA HDD Up to 6TB
Up to 8MP Camera Liveview and Playback
VIVOCloud App & Portal for 24/7 Viewing
Easy Connection with IP Camera and Quick Auto Setup