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SECURITY & ACCESS CONTROL SYSTEMS

Integraltech networks provide cost-effective turnkey CCTV (Closed Circuit Television) systems designed to meet your specific requirements for surveillance, image clarity and event documentation. We combine the latest technology in Video Management Systems from building custom, high-end server storage solutions to NVRs (Network Video Recorders) with IP cameras, and DVRs (Digital Video Recorders) with Digital cameras to design a solution to meet your surveillance needs and budget. We have established partnership with leading suppliers of video security and surveillance solutions. This gives us the leverages to offer our customers seamless, end to end solutions which provide a range of benefits including quick and easy integrations, a wide variety of choice and operability with any camera and application.

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Integral University, a seat of educational excellence, is a premier university in Lucknow, the capital city of the state of Uttar Pradesh, India. It was established under the Act Number 9 of 2004 by the State Government. The University is duly approved by the University Grants Commission (UGC) under sections 2(f) and 12B of the UGC Act, 1956, Medical Council of India, Pharmacy Council of India. 1 Introduction It is well known that a perfectly cylindrical jet of liquid which supports surface tension at its free interface is an unstable stationary solution of the equations of motion (both viscous.

♦ Digital & IP camera systems.
♦ Major brands with advanced technology.
♦ Recording, Viewing & Archiving of Video Images.
♦ High Quality real time video over IP network.
♦ Reduces internal and external thefts.
♦ Boosts productivity.
♦ Provides security for your staff, customers and assets.

ACCESS CONTROL

Integraltech Networks LLC provides cost-effective turnkey Access Control Systems designed to meet your specific requirements for enabling authority to control access to areas and resources in a given physical facility or computer-based information system. Managed Access Control can provide personnel tracking, image verification, employee information, and event documentation. These systems can also be used to enforce policies, limiting users to specifically authorized actions and data. Virtually any door can be fitted with a locking system specific to an end user requirements.


For many companies, the cost savings alone can be a driver towards deploying an edge-computing architecture. Companies that embraced the cloud for many of their applications may have discovered that the costs in bandwidth were higher than they expected.


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Increasingly, though, the biggest benefit of edge computing is the ability to process and store data faster, enabling for more efficient real-time applications that are critical to companies. Before edge computing, a smartphone scanning a person’s face for facial recognition would need to run the facial recognition algorithm through a cloud-based service, which would take a lot of time to process. With an edge computing model, the algorithm could run locally on an edge server or gateway, or even on the smartphone itself, given the increasing power of smartphones. Applications such as virtual and augmented reality, self-driving cars, smart cities and even building-automation systems require fast processing and response.


“Edge computing has evolved significantly from the days of isolated IT at ROBO [Remote Office Branch Office] locations,” says Kuba Stolarski, a research director at IDC, in the “Worldwide Edge Infrastructure (Compute and Storage) Forecast, 2019-2023” report. “With enhanced interconnectivity enabling improved edge access to more core applications, and with new IoT and industry-specific business use cases, edge infrastructure is poised to be one of the main growth engines in the server and storage market for the next decade and beyond.”

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Companies such as NVIDIA have recognized the need for more processing at the edge, which is why we’re seeing new system modules that include artificial intelligence functionality built into them. The company’s latest Jetson Xavier NX module, for example, is smaller than a credit-card, and can be built into smaller devices such as drones, robots and medical devices. AI algorithms require large amounts of processing power, which is why most of them run via cloud services. The growth of AI chipsets that can handle processing at the edge will allow for better real-time responses within applications that need instant computing.