Latest Hanwha Techwin America news

Hanwha Techwin Announces Wisenet WAVE PoE NVRs For Video Management Software
Hanwha Techwin Announces Wisenet WAVE PoE NVRs For Video Management Software

New Wisenet WAVE PoE NVRs introduced by Hanwha Techwin are designed to provide a cost-effective way for users to be able to take advantage of the highly popular Wisenet WAVE video management software (VMS), without having to install a server. The 8 channel Wisenet WRN-810 and 16 channel WRN-1610S NVRs are equipped with a powerful processor to provide users with a seamlessly integrated and optimized way of utilizing the latest version of the feature-rich VMS. The WRN-810 stores up to 12 terabytes of data with the help of 2 internal SATA HDDs and the WRN-1610S stores up to 24 terabytes of data via 4 SATA HDDs. “In addition to the immediate benefit that the Wisenet WAVE VMS embedded in the NVRs is ready to be used out-of-the-box, we also offer system integrators peace of mind in knowing they can rely on us to provide one-stop customer support for the combined hardware and software solution,” said Uri Guterman, Head of Product & Marketing for Hanwha Techwin Europe. Licensing The cost of deploying the NVRs is further reduced by built-in PoE switches which provide an installation time-saving method A key objective of introducing the two new NVRs has been to minimize the total cost of owning Wisenet WAVE and Hanwha Techwin has achieved this by negating a requirement to purchase, install, house and maintain a server normally needed to run the software. Users are also able to take advantage of flexible ‘future ready’ licensing arrangements whereby they only have to initially purchase licenses for half the respective NVR’s channels and then only pay for the remaining licenses, if and when required in the future. The cost of deploying the NVRs is further reduced by built-in PoE switches which provide an installation time-saving method of supplying power to connected cameras. Operator friendly Intended to meet the needs of small to medium-sized video surveillance projects, with an emphasis on a simplified user experience, Wisenet WAVE features an intuitive ‘drag & drop’ tool which makes it extremely easy for operators to set up a display of live and recorded images on a single screen or video wall, with customizable layouts and sizes. This tool is supported by a ‘Layout-as-an-Action’ feature, which triggers a predefined screen layout to automatically open when an event occurs, whilst a wide range of Smart search options, including keyword, calendar and time-slice search, enable operators to quickly retrieve recorded video of specific incidents. Adding to ease of use, a virtual PTZ enables operators with just a few simple clicks of a mouse, to zoom in to see close up detail of any suspicious activity. WAVE 4.1 The 2 NVRs are embedded with the latest version of Wisenet WAVE 4.1, which is equipped with a long list of new practical features including Push notifications of user-defined alarm events which can be sent to mobile devices, and embedded camera web pages that enable operators to manage the settings of connected cameras without having to open a separate browser window. An enhanced Smart search allows users to set-up an Analytics Event Region of Interest (ROI), to narrow a search to a specific area of a field of view, while integration with Wisenet AI cameras enables the attributes of classified objects or people to be displayed on recorded vi Users are also able to forensically search for specific objects or people by filtering the recorded metadata. Wisenet AI cameras “The availability of these 2 new affordable NVRs, means even small shops and offices will now be able to take advantage of Wisenet WAVE user-friendly features to quickly retrieve and review recorded video of any incidents, as well as view live images,” said Uri Guterman. “Although Wisenet WAVE, subject to a minimum specification, will run on virtually any server, embedding the software on the NVRs means installation time is minimized and users can expect to enjoy a robust, cyber secure and optimized recording solution which offers a high level of reliability and performance.”

Hanwha Techwin America Installs Wisenet Cameras To Help Peake ReLeaf Cannabis Dispensary Meet Stringent Regulatory Requirements
Hanwha Techwin America Installs Wisenet Cameras To Help Peake ReLeaf Cannabis Dispensary Meet Stringent Regulatory Requirements

Peake ReLeaf is a local and independently-owned medical cannabis dispensary facility, located in Rockville, Maryland. Through its recently-opened, 4,200-square-foot facility, the company provides a wide range of cannabis and cannabis-infused products to patients with a valid medical marijuana certification, to treat a variety of qualifying conditions such as anorexia, cachexia, chronic or severe pain, glaucoma, PTSD, seizures, severe nausea, and severe or persistent muscle spasms. Installing an efficient video surveillance system While Peake ReLeaf faces the ordinary challenges of any small business as a cannabis dispensary, it is also subject to a number of stringent Maryland Medical Cannabis Commission (MMCC) regulations, which include strict requirements for video surveillance that dictate video quality, system performance, storage and other factors. After much research, they decided to contract Skyline Technology Solutions for their surveillance system because of their transparency, robust IT background and previous experience with medical marijuana facilities. Wisenet QND-6010R dome cameras for indoor surveillance Skyline recommended that PeakReleaf install cameras from Hanwha Techwin America Based on the regulatory needs and many conversations about how they wanted their business to operate, Skyline recommended that PeakReleaf install cameras from Hanwha Techwin America to secure both the interior and exterior of the facility. For indoor use, Skyline installed Wisenet QND-6010R vandal-resistant dome cameras that offer picture clarity so facial features could be easily identified. Wisenet QNV-7080R cameras for outdoor surveillance For outdoor use, Peak ReLeaf chose the Wisenet QNV-7080R cameras that provide 4-megapixel image quality with true wide dynamic range (WDR), motion detection, defocus detection and tampering detection at an affordable price. Both camera models, Wisenet QND-6010R and Wisenet QNV-7080R cameras come integrated with WiseStream II compression technology that can reduce bandwidth by 50%. WiseStream II compression technology WiseStream II compression technology dynamically controls encoding, balancing quality and compression according to movement in the image resulting far less bandwidth and storage requirements. This allowed Peake ReLeaf to meet the MMCC storage requirements in a cost-effective manner. Since the dispensary’s opening, Hanwha cameras have continuously provided the performance and capabilities to ensure Peake ReLeaf remains in compliance with the strict MMCC requirements, even as they continue to evolve moving forward. Cameras featuring onboard video analytics The Hanwha cameras have made it easier to identify and view video thanks to their ability to flag video based on motion or other factors using onboard video analytics. “Hanwha cameras offer us the video quality we need, and the cameras’ video analytic and other capabilities provide us with the flexibility that will allow us to quickly adapt to the inevitable regulatory changes that will come as we navigate this very new industry in Maryland,” said Nate Miller, one of the founding members and Peake ReLeaf’s Executive Vice President.

How Have Security Solutions Failed Our Schools?
How Have Security Solutions Failed Our Schools?

School shootings are a high-profile reminder of the need for the highest levels of security at our schools and education facilities. Increasingly, a remedy to boost the security at schools is to use more technology. However, no technology is a panacea, and ongoing violence and other threats at our schools suggest some level of failure. We asked this week’s Expert Panel Roundtable: How have security solutions failed our schools and what is the solution?