Cloud Based Video Analytics

Next-Generation Surveillance: Benefits of AI-Powered Cloud-Based Video Analytics For Comprehensive Security  

Sashishekhar Panda

November 11, 2024

4 Min Read

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As security threats evolve, traditional surveillance systems can fall short in providing the level of protection and insight needed. This is where AI-powered, cloud-based video analytics come into play. These technologies not only enhance monitoring capabilities but also provide actionable intelligence that enables security teams to respond swiftly and effectively. 

AI-Powered Cloud Surveillance: A Leap Beyond Traditional Systems 

AI-powered video analytics bring significant improvements in surveillance by automating and optimising security operations. These systems can detect, analyse, and alert people to a variety of events. AI’s ability to process video feeds in real time allows for more efficient object recognition, enabling the identification of people, vehicles, and suspicious activities with high accuracy. This eliminates the issue of false alarms common in older systems and ensures that only relevant incidents are flagged. 

The shift to cloud-based storage and analysis further strengthens security by centralising data and providing scalable solutions. This approach provides superior disaster recovery options, as data is securely stored in multiple locations, protecting it from physical damage or loss. 

Benefits of AI-Powered Cloud-Based Video Analytics 

One of the major benefits of these next-generation systems is the enhancement of situational awareness. AI algorithms can process vast amounts of data and filter out irrelevant noise. Security teams can monitor multiple locations seamlessly and respond faster to threats. AI-based systems can learn and adapt to environments, identifying unusual behaviour and alerting operators to potential risks before they escalate. 

AI-powered cloud surveillance systems can easily expand as businesses grow or as security needs evolve. Additionally, cloud storage ensures that even if local servers fail, data remains intact and accessible, further strengthening an organization’s security posture. 

Integrating AI into Surveillance for Proactive Security 

AI-powered analytics are designed to be proactive rather than reactive. Through intelligent algorithms, these systems can predict potential threats and prevent them from materialising. For example, AI can identify patterns in traffic, foot movement, or even subtle changes in behaviour, all of which could indicate a security breach. By recognising these patterns, AI-driven systems can alert security personnel in advance, giving them the chance to act before incidents occur. 

Furthermore, cloud-based solutions provide centralised management for surveillance across multiple locations. This is particularly valuable for businesses or institutions with large geographical footprints, as security can be coordinated and monitored from a single platform. Integrating AI with cloud infrastructure provides a seamless, always-on solution that can adapt to changing security demands. 

Drishticam: Enhancing Surveillance with AI-Powered Solutions 

Drishticam takes surveillance a step further by offering a unified, cloud-hosted platform that brings comprehensive security solutions under one roof. This one-stop service platform supports ONVIF-compliant cameras, providing seamless integration with a wide range of industry-leading IP cameras. Drishticam’s plug-and-play setup allows for easy configuration, giving users access to a cloud-based system without complex installations. 

Enhancing basic camera functionalities, Drishticam incorporates world-class AI capabilities to detect people, vehicles, and other important activities in real-time. With this, businesses can ensure a safer environment while benefiting from accurate monitoring and fewer false alarms. The platform’s support for multisite architecture allows businesses to monitor and manage multiple locations effortlessly, all while keeping data secure through cyber-secured and encrypted transmissions. 

Drishticam for Enhanced Surveillance 

Drishticam’s advanced features include continuous multi-site monitoring, virtualised and cloud-based infrastructure, and AI-powered analytics. It offers a performance dashboard for real-time insights and camera health checks, ensuring that the entire system operates smoothly.  

Drishticam supports real-time video analysis with live and on-demand viewing, open device compatibility, and user access control. The cloud infrastructure allows for scalable storage and centralised management, meaning that businesses can monitor multiple sites simultaneously. Furthermore, the platform’s AI-powered analytics significantly improve the accuracy of surveillance systems by identifying objects and events that matter most, reducing false positives, and ensuring quick responses to real threats. 

Drishticam: A Holistic, Secure Solution for Modern Surveillance 

With Drishticam, businesses gain access to a cloud-hosted, AI-enhanced surveillance solution that integrates seamlessly with existing infrastructure. Drishticam not only simplifies surveillance operations but also enables businesses to proactively manage risks, making it an ideal choice for comprehensive security solutions. 

In conclusion, AI-powered cloud-based video analytics represent a significant improvement over traditional surveillance systems, offering businesses enhanced monitoring capabilities, real-time insights, and proactive security management. By integrating advanced AI technology, these systems reduce false alarms, streamline security operations, and adapt to evolving threats. Platforms like Drishticam provide businesses with these benefits through seamless integration, scalability, and secure cloud infrastructure, making it a reliable choice for modern, intelligent surveillance solutions. 

Sashishekhar Panda

Business Head – Cloud, Content, Continuity and Hybrid and Multi-Cloud Management Service​

Sashi carries 20+ years rich domain expertise in product marketing and life cycle management of Data Centers, Hosting, Cloud and managed IT Services. Prior to joining Yotta he worked for few India’s largest MR agencies, Telecom and Data center companies including ACNielsen ORG-MARG, Reliance Com, Airtel and Tata Com Singapore. He is a self-motivated learner who likes to take challenges and is constantly experimenting with new possibilities. He brings extensive business insights with a strong understanding of global product marketing and business management practices. His passion is all about democratising, fostering, innovating an agile ITaaS (IT as a Service) to meet the evolving IT demands of business.

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