Shabodi and Megh Computing unveil network-aware video analytics solutions for private 5G networks

Cutting-edge Video Analytics Suite set to revolutionize multiple use cases across the industrial sector launched just ahead of Hannover Messe Industrial Transformation Conference to showcase the power and potential of network-aware video analytics to the industrial sector ecosystem.

Shabodi and Megh Computing announce the launch of a network-aware VideoAnalytics Solutions suite designed for private Advanced Networks (LTE, 5G, Wi-Fi 6, and 6G). The Video Analytics Solutions (VAS) are powered by Megh’s Open Analytics Platform and Shabodi’s network-aware Application Enablement Platform (AEP).

High-definition video is a critical sensory technology across various industrial use cases, including real-time security and surveillance, immersive worker assistance using AR, VR, XR, and quality control. It supports multiple applications to reduce risks and improve operational efficiencies, such as:

• Smart Factories: Quality control, safety monitoring, process optimization
• Smart Cities: People management, traffic management, anomaly detection
• Smart Warehouses: Inventory tracking, PPE and safety compliance, collision detection

“Shabodi is proud to collaborate with Megh Computing to provide a groundbreaking suite of network-aware video analytics applications on private 5G networks and beyond. Our joint effort brings the transformative potential of network-aware applications across several industrial use cases. This launch further underscores our commitment to maximize enterprise private 5G investments with cutting-edge use cases.”

– Harpreet Geekee, Co-founder of Shabodi

By leveraging Shabodi’s AEP, Megh Computing’s video analytics applications become network-aware, dynamically requesting Quality of Service on Demand (QoS) to ensure specific video cameras receive guaranteed bandwidth and required latency parameters. In addition, the real-time interaction between Megh Computing’s application and Shabodi’s AEP allows the application to adjust frame rates depending on the number of active cameras.

“Shabodi’s AEP simplifies the underlying complexities of telecom network APIs, exposing developers to easy-to-use RESTful APIs for building network-aware applications that work across multiple network vendors. As a result, Shabodi unleashes the power of AdvancedNetworks.”

– Ramesh Kaza, President and Chief Commercial Officer of Shabodi

“Megh’s Open Analytics platform is powered by the Nimble Application Framework that supports a resource and execution management engine to deliver optimum performance with minimum latency. Coupling this with the network-aware features now adds a new layer of reliability to our solutions, ensuring that critical insights reach relevant stakeholders in a prioritized manner.”

– PK Gupta, CEO of Megh Computing

The combination of Megh’s Video Analytics Solution with advanced AI models optimized with continuous training and Shabodi AEP’s network-aware features ensures high operational reliability, paving the way for the next generation of video analytics solutions.