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o The growing video surveillance market is driving demand for advanced video analysis technologies. Businesses and organizations from all vertical sectors are looking to leverage the benefits of enhanced detection accuracy and flexibility provided by deep learning to solve their security, safety, and operations challenges. Discover how Agent Vi’s innoVi* leverages cutting-edge deep learning technology to transform the hundreds, or even thousands, of cameras deployed across a city into smart video devices, contributing to the city’s ability to improve security, safety, and incident response citywide.

It’s no secret that video is the new paradigm in law enforcement; but, with video comes the need to log, manage, store, and secure thousands of hours of content—and that makes huge demands on your data center infrastructure. In this white paper, we detail infrastructure challenges faced by state and local agencies and how they are overcoming them with powerful infrastructure solutions. Download the white paper and read more.

The Real Impact of Body Cameras: Unprecedented Secure Storage Demand Body cameras have become a critical component of campus and community policing — they protect everybody’s interests. However, gathering, securing, storing, and managing the terabytes of content created on a monthly basis can be daunting even for the most sophisticated IT teams. In this eBook, we provide a comprehensive look at this growing challenge and how you can get in front of it! Read this eBook now.

It’s no secret that video is the new paradigm in law enforcement; but, with video comes the need to log, manage, store, and secure thousands of hours of content—and that makes huge demands on your data center infrastructure. In this white paper, we detail infrastructure challenges faced by state and local agencies and how they are overcoming them with powerful infrastructure solutions. Download the white paper and read more.

Your keys to huddle room video deployments success.

In this report, Ira M. Weinstein and Saar Litman are explaining features and benefits of the Tely solution.

See for yourself how Tely 200 compares to other small room systems.

To accelerate the assessment and treatment of stroke patients, Orlando Health turned to Polycom-based video collaboration.

The increasing availability of 4K/ultra-high-definition (UHD) TVs, computer displays, and cameras is driving the adoption of new, higher-quality video specifications for video production. To create more immersive, engaging experiences, video producers are capturing and generating content with greater resolution, frame rates, dynamic range, color depth, and color gamut.

This white paper reveals how extensive deployment of video surveillance places heavy demands on network resources. The mission-critical network must therefore be able to support the high-bandwidth required by video traffic efficiently, with multiple stringent QoS levels.

Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data. Amazon CEO Jeff Bezos spoke about the potential of artificial intelligence and machine learning at the 2017 Internet Association‘s annual gala in Washington, D.C., “It is a renaissance, it is a golden age,” Bezos said. “We are solving problems with machine learning and artificial intelligence that were in the realm of science fiction for the last several decades. Natural language understanding, machine vision problems, it really is an amazing renaissance.” Machine learning and AI is a horizontal enabling layer. It will empower and improve every business, every government organization, every philanthropy

Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data

Shopping has always been social - whether we're buying a camera, booking a holiday or renting a car. People buy from people and discuss their decisions. Today, social commercie is back in a big way. The travel industry has fully embraced the power of the crowd and it's hard to find a serious travel site that doesn't have some form of traveller reviews. In thisebook, you will learn about weaving social engagement into every step of the new booking journey to make it easy for people to book with you and share their great experience with others.

Shopping has always been social - whether we're buying a camera, booking a holiday or renting a car. People buy from people and discuss their decisions. Today, social commercie is back in a big way. The travel industry has fully embraced the power of the crowd and it's hard to find a serious travel site that doesn't have some form of traveller reviews. In thisebook, you will learn about weaving social engagement into every step of the new booking journey to make it easy for people to book with you and share their great experience with others.

Technology plays a key role in online shopping, where online retailers gain a greater understanding of their customers through data from their browsing and purchasing habits. Today, when consumers shop in brick-and-mortar stores, they expect the same personalized and responsive service. To help retailers achieve this level of service, a combination of hardware and software—Intel® Vision Accelerator Design products, cameras, AI deep learning video analysis technology— do the work for you. Uncover how Advantech system uses the Intel Vision Accelerator Design with Intel Movidius VPU to drive • Overall store performance such as the number of visitors and transactions, point-of-sale data, sales per shopper and the store’s ranking, and can distinguish traffic patterns by weather and time of day • Traffic and sales analysis for better staff allocation and marketing-event planning • Store heatmap analysis for more precise merchandise placement and product promotion

In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach. VSI tested the lane keeping system with and without map data on a local road in 3 scenarios: Lane lines expanding into a turn or exit lane An intersection without lane lines A widening in the lane The results show that in all scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems. This report proves that using a lane model from an HD map can solve common issues involved in computer-vision-only lane keeping.

In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach. VSI tested the lane keeping system with and without map data on a local road in 3 scenarios: 1. Lane lines expanding into a turn or exit lane 2. An intersection without lane lines 3. A widening in the lane The results show that in all scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems. This report proves that using a lane model from an HD map can solve common issues involved in computer-vision-only lane keeping.

Protect the network, use the network to protect students Your schools use a growing amount of networked information and devices as an essential part of teaching and administration. Research on the Internet, laptops in class, distance learning, and online homework are some of the official technologies that your students use. Unofficially, this list extends to mobile phones (with cameras), digital music and video players, blogs, instant messaging, social networking sites, and networked or online gaming. Behind the scenes are databases with student information, class schedules, attendance records, copies of exams and answers, financial transactions, and even video surveillance. All of these rely on a robust and secure network infrastructure. Cisco Umbrella can provides these, download this whitepaper to find out more!

Digital transformation and smart technologies are paving the way towards smarter healthcare. Medwel understands that the goal of smart hospital development stems from the needs of the patient. By tapping on ICT advancements in the healthcare environment, the common goal is to reduce medical errors and achieve a holistic approach centered on the patients’ needs. Read more about the new MEDS-P1001—a 10.1” medical grade touchscreen PC that boosts • Effective computing through low power consumption • Interoperable through dual OS for different applications in hospitals • Health insights based on smart interfaces of vital sign measuring devices • Expandable functions through peripheral devices such as cameras, RFID reader, WIFI, etc. • Refined and reliable design that is slim, lightweight, antibacterial, water and dust-proof

Part 3 in our Partnering with Certainty Webinar Series, "Customer Demands at the Edge." As distributed edge environments become more critical, physical security becomes more important. Nobody would leave their data center wide open for anyone to enter, but that’s exactly how many organizations treat their edge computing sites. Often, they consist of a rack or two of gear in a non-dedicated location, perhaps a janitor’s closet, with little to no physical security. Fill out your information and click "Register" to watch the third event in our Partnering with Certainty Webinar Series, “Customer Demands at the Edge: Protect me from Downtime!” This webinar originally aired on November 9th, 2017. In this webinar, we discuss physical security best practices, including environmental issues such as temperature and humidity monitoring. We also update partners on the physical security features of the latest APC racks and the NetBotz line of security and environmental appliances, cameras and sensors.

With its CX5100 and CX5500 products, Polycom (the sponsor of this study) has taken an innovative approach to resolving this situation. The CX5100 and CX5500 are 360 degree camera systems that sit in the middle of the conference room table, providing remote Skype for Business/Lync users with a better “connection” to the meeting room. And unlike traditional video conferencing systems, the “camera in the middle of the table” approach is flexible enough to support both standard / formal meetings and teaming sessions.

Getting data from today’s television and film production and post-production workflows may seem like you’re moving through molasses. Mired in manual processes, attempting to manage and automate data during the creation stage of your content’s lifecycle can sometimes feel like a losing battle as the demands of creatives constantly move forward. Hear Lulu Zezza, Physical Production Executive for New Regency Productions, Matt Turner, Media & Entertainment CTO, MarkLogic, and Guy Finley, Executive Director, Media & Entertainment Strategic Alliance (MESA) as they discuss: o Metadata’s value and its evolution, beyond delivery and experiences, to harnessing critical production data o Results of taking a new approach to bring this data together with context and meaning that impacts other business unit roles o How the New Regency team created a software driven production data hub that is enabling creatives to work seamlessly on the project, in a comfortable UI/UX driven environment, with e

Abacus is a real time expense reporting solution that processes individual expenses as they flow into the system. No expense report required. It provides finance teams unprecedented visibility into spend and minimizes the work required to submit expenses. At one time, the most efficient way to get expense documentation from employees to the finance team was to tape receipts together and fill out templated forms. Today we have mobile cameras, automated accounting software, and convenient apps for peer-to-peer payments. We live in a world of real time data. You should be able to submit your expenses as easily as you pay a friend for your half of dinner!

Abacus is a real time expense reporting solution that processes individual expenses as they flow into the system. No expense report required. It provides finance teams unprecedented visibility into spend and minimizes the work required to submit expenses. At one time, the most efficient way to get expense documentation from employees to the finance team was to tape receipts together and fill out templated forms. Today we have mobile cameras, automated accounting software, and convenient apps for peer-to-peer payments. We live in a world of real time data. You should be able to submit your expenses as easily as you pay a friend for your half of dinner!

In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach. VSI tested the lane keeping system with and without map data on a local road in 3 scenarios: Lane lines expanding into a turn or exit lane An intersection without lane lines A widening in the lane The results show that in all scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems. This report proves that using a lane model from an HD map can solve common issues involved in computer-vision-only lane keeping.