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Intelligent Video 2.0 – 2019 (Moscow, November 20) is the 8th conference along with technology display for video surveillance vendors, system integrators, architects, engineers and consultants who discuss the future of video surveillance business amid the rise of artificial intelligence (AI), cloud-based services and the IoT.

Knowledge sharing and technological innovation are offered by Grundig Security, AxxonSoft, Faceter, Milestone Systems, Hanwha Techwin, DSSL | TRASSIR, Bolid, Fort-Telecom, Lex Computech, Xilinx, Tahion, BIC-Inform, NSGate, NSG

Would you like to introduce your technology and expertise to the Russian market and connect with key customers?

Book your speaking and exhibiting opportunities at All-over-IP 2019!
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End-users are looking to get their challenges solved vs generating more video surveillance footage. They have over the last few years taken much more interest in making video work with the business enterprise to increase productivity and add value to systems. So the years 2019–2023 will be an exciting and demanding time in the video surveillance business with event-related video analytics, AI technologies and IoT.

Integration of disparate surveillance and security systems at multiple locations for centralized management, increase in cyber security of video surveillance installations, and further improvement in quality of video surveillance image for low-light conditions will also have a big impact on the business of system integrators, architects, engineers and consultants in Russia.

Section I. AI for Surveillance and Security. Event-Related Video Analytics
  • Adding 'brains' to the 'eyes'. AI technology and its impact on video surveillance. How can system integrators make higher profits with intelligent video analytics. Real-world use cases of AI paired with surveillance and security applications.
  • Event-related video analytics. How to maximize the benefits from a video surveillance installation. Examples for such vertical applications. Best strategies supporting quick project start-up time for event-related video analytics.
  • Confusion in AI and how to solve it. Understanding the difference between AI, machine learning, deep learning and neural networks.
  • Neural networks in video surveillance. Fundamentals of neural networks: architectures, algorithms and applications.
  • Savvy integration of AI with existing video surveillance infrastructure. Image requirements.
  • Predicting the outcome of combining 2D cameras, 3D cameras, and thermal cameras with intelligent video analytics. How to take video surveillance another step forward?
  • WISENET. One stop shop for intelligent video analytics by Hanwha Techwin // Mikhail Shakarov, Business Development Manager, Hanwha Techwin
  • Cloud-based video analytics. VSaaS trends for the next 5–7 years. How can system integrators sell saving time and capital costs as well as unlimited scalability to video surveillance customers?
  • IT infrastructure requirements for AI in video surveillance applications. Ways to tell when a customer is ready for AI.
Section II. Video surveillance management platforms
  • Transformation of management software for security and surveillance applications. Using VMS for many value-adding purposes in complex and multiple-site installations. VMS integration with BMS applications // Dmitrijs Bazaevs, Country Manager, Milestone Systems
  • Taking a fresh look at functionality of an advanced VMS solution. New principles of buying more licenses, and upgrading a VMS product. Sending data from unlicensed hardware such as cell phone cameras to the system.
  • Faceter has intelligence and vision. A use case of face and object detection across 30+ video cameras running on one accelerator // Vladimir Tchernitski, Co-founder and CTO, Faceter
  • Unlocking a new level of performance of video surveillance solutions with hardware acceleration.
  • Integration strategies for disparate surveillance and security systems at multiple locations for centralized management and monitoring.
  • Transforming cybersecurity strategy for the age of IoT in video surveillance applications to thwart modern-day DDoS attacks or other advanced threats. Encryption of the video and audio feed. User authentication techniques. User access management tools.
Section III. Smart video surveillance devices
  • Autonomous or semi-autonomous video surveillance as a pillar system integrators should consider to successfully expand throughout the region. Battery-powered cloud cameras with a 3G/4G built-in modem and edge storage as part of connected home and connected office ecosystem.
  • Changes in the video surveillance business expected with further LPWAN penetration.
  • New chipsets and advanced onboard video analytics. Next-generation intelligent IP cameras 2–5 Mpx in real-life applications.
  • Proprietary chipsets and other tools of video surveillance solution customization to wow your customer.
  • Leveraging AI's capabilities to improve the overall performance of existing video surveillance hardware infrastructure.
  • IP vs. AHD. Deploying an ever-growing video surveillance system with increased capability and functionality, and achieving seamless integration for IoT-connected assets.
  • Further improvement in quality of video surveillance image for low-light conditions.
  • Achieving excellent colour rendering properties as a most crucial task for pattern and face recognition, and object classification. What do vendors have to offer?

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