Barix has announced the schedule for its newest series of webinars, which are designed to inform and inspire systems integrators, installers, service providers and AV managers with in-depth, technical insights about key trends in audio over IP.

Two of the sessions will focus on key considerations and opportunities in upgrading analog speakers and audio installations to IP, while the remaining webinars explore the use of streaming audio over IP for background music systems in retail environments and other public spaces.

Upcoming webinars

  • Pros and Cons of Upgrading an Existing Audio Installation to IP – Thursday, April 8, 2021, at 10 am CET and 10 am PDT (1 pm EDT). This webinar will discuss why IP is important for systems integrators in project tenders; key system design considerations; differences between analog and digital installation processes; an overview of IP-enabled functionality and applications; and security factors. It will conclude with a live demonstration of Barix’s IP Former analog-to-IP speaker upgrade solution.
  • Effectively Making Audio Installations IP Manageable – Tuesday, May 18 at 10 am CET and 10 am PDT (1 pm EDT). This webinar will explore important steps in upgrading analog audio installations to IP, including key details the IT department needs to know; effectively planning the transition; common challenges and solutions; connecting and configuring the networked audio devices; and customisation. It will wrap up with a live demonstration of Barix’s IP Former hardware and management interface.
  • Building a Scalable Background Music System (for Music Providers) – Tuesday, June 22 at 10 am CET and 10 am PDT (1 pm EDT). This session will instruct music service providers on key considerations when designing and implementing a multi-site background music streaming system for retail, hospitality, and corporate environments. Discussions will include the solution architecture; device distribution; maintenance planning; ad insertion; local announcements; and a live demonstration of Barix’s RetailPlayer platform.
  • How to Reduce the Installation Cost and Maintenance of a Background Music System – Tuesday, July 20 at 10 am PDT (1 pm EDT). Deployment and operational costs can be among the most important elements of any background music (BGM) system. This webinar explores ways to minimise installation time and costs; functions that make a BGM system more valuable; the advantages of cloud-based management; ad insertion; and more. It concludes with a live RetailPlayer demonstration.

Partnering for Webinar

Barix will also be partnering with AVIXA to offer an Italian-language webinar, Audio over IP for Distribution of Background Music: Planning, Management and Control, on Wednesday, May 5.

This session will cover technical issues related to distributing background music for “in-store” applications, including key components and techniques; installation planning; and the interaction between embedded audio devices at multiple endpoints and centralised, cloud-based control.

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Panasonic AI-driven cameras empower an expanding vision of new uses
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Imagine a world where video cameras are not just watching and reporting for security, but have an even wider positive impact on our lives. Imagine that cameras control street and building lights, as people come and go, that traffic jams are predicted and vehicles are automatically rerouted, and more tills are opened, just before a queue starts to form. Cameras with AI capabilities Cameras in stores can show us how we might look in the latest outfit as we browse. That’s the vision from Panasonic about current and future uses for their cameras that provide artificial intelligence (AI) capabilities at the edge. Panasonic feels that these types of intelligent camera applications are also the basis for automation and introduction of Industry 4.0, in which processes are automated, monitored and controlled by AI-driven systems. 4K network security cameras The company’s i-PRO AI-capable camera line can install and run up to three AI-driven video analytic applications Panasonic’s 4K network security cameras have built-in AI capabilities suitable for this next generation of intelligent applications in business and society. The company’s i-PRO AI-capable camera line can install and run up to three AI-driven video analytic applications. The AI engine is directly embedded into the camera, thus reducing costs and Panasonic’s image quality ensures the accuracy of the analytics outcome. FacePRO facial recognition technology Panasonic began advancing AI technology on the server side with FacePRO, the in-house facial recognition application, which uses AI deep learning capabilities. Moving ahead, they transitioned their knowledge of AI from the server side to the edge, introducing i-PRO security cameras with built-in AI capabilities last summer, alongside their own in-house analytics. Moreover, in line with the Panasonic approach to focus more on collaboration with specialist AI software developers, a partnership with Italian software company, A.I. Tech followed in September, with a range of intelligent applications, partially based on deep learning. Additional collaborations are already in place with more than 10 other developers, across the European Union, working on more future applications. i-PRO AI-capable security cameras Open systems are an important part of Panasonic’s current approach. The company’s i-PRO AI-capable cameras are an open platform and designed for third-party application development, therefore, applications can be built or tailored to the needs of an individual customer. Panasonic use to be a company that developed everything in-house, including all the analytics and applications. “However, now we have turned around our strategy by making our i-PRO security cameras open to integrate applications and analytics from third-party companies,” says Gerard Figols, Head of Security Solutions at Panasonic Business Europe. Flexible and adapting to specific customer needs This new approach allows the company to be more flexible and adaptable to customers’ needs. “At the same time, we can be quicker and much more tailored to the market trend,” said Gerard Figols. He adds, “For example, in the retail space, enabling retailers to enhance the customer experience, in smart cities for traffic monitoring and smart parking, and by event organisers and transport hubs to monitor and ensure safety.” Edge-based analytics offer multiple benefits over server-based systems Edge-based analytics Edge-based analytics offer multiple benefits over server-based systems. On one hand, there are monetary benefits - a cost reduction results from the decreased amount of more powerful hardware required on the server side to process the data, on top of reduction in the infrastructure costs, as not all the full video stream needs to be sent for analysis, we can work solely with the metadata. On the other hand, there are also advantages of flexibility, as well as reliability. Each camera can have its own individual analytic setup and in case of any issue on the communication or server side, the camera can keep running the analysis at the edge, thereby making sure the CCTV system is still fully operational. Most importantly, systems can keep the same high level of accuracy. Explosion of AI camera applications We can compare the explosion of AI camera applications to the way we experienced it for smartphone applications" “We can compare the explosion of AI camera applications to the way we experienced it for smartphone applications,” said Gerard Figols, adding “However, it doesn’t mean the hardware is not important anymore, as I believe it’s more important than ever. Working with poor picture quality or if the hardware is not reliable, and works 24/7, software cannot run or deliver the outcome it has been designed for.” As hardware specialists, Figols believes that Panasonic seeks to focus on what they do best - Building long-lasting, open network cameras, which are capable of capturing the highest quality images that are required for the latest AI applications, while software developers can concentrate on bringing specialist applications to the market. Same as for smartphones, AI applications will proliferate based on market demand and succeed or fail, based on the value that they deliver. Facial recognition, privacy protection and cross line technologies Panasonic has been in the forefront in developing essential AI applications for CCTV, such as facial recognition, privacy protection and cross line. However, with the market developing so rapidly and the potential applications of AI-driven camera systems being so varied and widespread, Panasonic quickly realised that the future of their network cameras was going to be in open systems, which allow specialist developers and their customers to use their sector expertise to develop their own applications for specific vertical market applications, while using i-PRO hardware. Metadata for detection and recognition Regarding privacy, consider that the use of AI in cameras is about generating metadata for the detection and recognition of patterns, rather than identifying individual identities. “However, there are legitimate privacy concerns, but I firmly believe that attitudes will change quickly when people see the incredible benefits that this technology can deliver,” said Gerard Figols, adding “I hope that we will be able to redefine our view of cameras and AI, not just as insurance, but as life advancing and enhancing.” i-PRO AI Privacy Guard One of the AI applications that Panasonic developed was i-PRO AI Privacy Guard Seeking to understand and appreciate privacy concerns, one of the AI applications that Panasonic developed was i-PRO AI Privacy Guard that generates data without capturing individual identities, following European privacy regulations that are among the strictest in the world. Gerard Fogils said, “The combination of artificial intelligence and the latest generation open camera technology will change the world’s perceptions from Big Brother to Big Benefits. New applications will emerge as the existing generation of cameras is updated to the new open and intelligent next generation devices, and the existing role of the security camera will also continue.” Future scope of AI and cameras He adds, “Not just relying on the security cameras for evidence when things have gone wrong, end users will increasingly be able to use AI and the cameras with much higher accuracy to prevent false alarms and in a proactive way to prevent incidents." Gerard Fogils concludes, “That could be monitoring and alerting when health and safety guidelines are being breached or spotting and flagging patterns of suspicious behaviour before incidents occur.”

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