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Boosting video surveillance effectiveness with predictive analytics integration

Boosting video surveillance effectiveness with predictive analytics integration
Check out how organizations can enhance their video surveillance capabilities through the integration of predictive analytics.
As technology continues to advance, many organizations are turning to predictive analytics to enhance their video surveillance capabilities. By analyzing video footage with machine learning algorithms, predictive analytics can identify patterns and anomalies that may indicate potential security threats or operational inefficiencies.

This integration of predictive analytics and video surveillance has the potential to revolutionize the way we approach security and surveillance, making it more proactive, accurate, and efficient.

In this article, we will explore the benefits of integrating predictive analytics with video surveillance and discuss how organizations can implement these technologies to improve their security and operational outcomes.

An increasingly easier process

“Big data” is being integrated throughout the corporate business world and security systems are evolving in the same way. We’re already accustomed to Salesforce and other CRM tools using predictive forecasting methods in which data is aggregated from multiple sources. AI-assisted tools can sort through mountains of data and find trends for security professionals as well.

According to Rui Barbosa, Product Manager at i-PRO Americas, the challenge is always going to be in collecting the data in a form that can be shared easily with other systems. Will a standard develop for sharing all this data or will it be custom API development? Probably a bit of both.

“Beyond pure security use cases, we can also imagine things like occupancy data being gathered by security camera analytics informing sales and operations software about peak sales opportunities and sales conversion rates,” Barbosa said. “Point of Sale exceptions can be synchronized to security systems so companies can see when transactions go wrong and why. The possibilities are endless.”

Victor Hagelbäck, CMO/CPO of Irisity also pointed out that predictive analysis can be integrated into most existing surveillance systems.
“There are options for AI video analytics systems that will work seamlessly with other products,” Hagelbäck said. “Adding something like this is inherently useful. Challenges may be faced with integration depending on the products you are dealing with, it’s important to ensure seamless integration before moving forward.”

The advantages of integrating predictive analytics

John Rezzonico, CEO of Edge 360 pointed out that by integrating video analytics with video management environments, security personnel can receive real-time alerts and notifications when suspicious activity is detected, allowing them to take immediate action.

“Combining the two solutions can also help with post-incident investigations, as it provides an efficient and accurate way to search through large amounts of video footage, thereby saving time and resources,” Rezzonico said. “Furthermore, the integration of video analytics with VMS can provide valuable insights into business operations, customer behavior, and traffic patterns, helping organizations to optimize their operations and improve their customer experience.”

Greg Skarvelis, Director of Solutions Design and Chief Solutions Architect at Intellicene said that integrating video analytics within security operations is essential for enhancing public safety and security.

“Advanced security intelligence systems provide real-time monitoring, analysis, and response capabilities for security threats and by integrating video analytics, the system's ability to detect and prevent security threats is significantly improved,” Skarvelis said. “Video analytics provide real-time information about potential security threats, improve the accuracy and reliability of security intelligence systems, automate routine tasks, and can be customized to meet the specific needs of different security scenarios.”

The addition of these advanced solutions within an intelligent security operations center is essential for improving public safety and security and detecting and preventing security threats more effectively.

Integration ensuring privacy

Finally, to ensure privacy concerns are addressed, it is crucial for companies and solution providers to provide adequate privacy tools such as face masking to anonymize video and data capture. As data collection can lead to misconceptions about invasions of privacy, it is necessary to take appropriate measures to educate the industry on the realities of how AI-based systems are being used. This will help dispel any misunderstandings about the technology and ensure that it is utilized in an ethical and responsible manner.

To sum up, the integration of predictive analytics and video surveillance can transform the way organizations approach security and operational efficiency. With the ability to analyze video footage and identify patterns and anomalies, predictive analytics can help prevent potential security threats and optimize operations. However, it is important to address privacy concerns and ensure ethical and responsible use of this technology. With seamless integration and proper privacy tools, predictive analytics can enhance public safety and security while providing valuable insights for business operations.
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