Compare VAS Suite vs. Verkada

Megh Computing offers an AI-based, cross-platform Video Analytics Solution, (VAS), that uses data from sensors and cameras to reduce security risks and improve operational efficiency for smart buildings, smart retail, and other venues. VAS is a ready-to-go solution that can be deployed from the edge to cloud using Megh’s advanced streaming analytics platform. Megh also offers a SDK that allows you to tailor the solution for different verticals or use cases. Service providers can benefit from Megh Computing's platform: • Maximum flexibility to customize the video analytics pipeline to meet your operational needs • High operational reliability with advanced AI models optimized for continuous learning • Lowest operational costs by choosing the best target hardware (CPU or GPU, FPGA, SOC, or CPU) VAS can be used to complement existing solutions or as an end-to-end standalone solution.

Verkada seamlessly integrates the user-friendly aspects of consumer security solutions with the robust scale and protection needed by businesses and organizations. By combining premium hardware with a user-friendly, cloud-driven software platform, contemporary enterprises can effectively manage and secure their buildings across various locations. With Power over Ethernet (PoE) cameras, setup takes just minutes, eliminating the need for traditional network video recorders or digital video recorders. Users can store footage locally for up to a year, ensuring they remain proactive against new security threats through continuous feature enhancements and security updates. The cameras transmit encrypted thumbnails to the cloud and only stream footage when being actively monitored, allowing for indefinite cloud storage of video clips and the convenient sharing of archived events with essential stakeholders. All footage from different locations can be consolidated into a single dashboard, providing secure access for the entire team. Furthermore, these cameras function as intelligent sensors, utilizing advanced AI and edge computing to reveal real-time actionable insights. This innovative approach effectively addresses the common difficulties faced in physical security management while enhancing overall safety and operational efficiency.