Best Video Analytics Software for AWS Marketplace

Unleash Live is a provider of AI-driven video analytics solutions aimed at enterprises. We utilize any camera's vision and merge it with advanced computer vision technology to generate actionable insights in real-time, allowing your organization to reduce costs, enhance productivity, boost accuracy, and increase safety. Our platform supports a diverse array of cameras, enabling connections between various types such as IP/CCTV, drones, body cameras, mobile devices, or robotic cameras. You can live stream footage from the field to your team while operations unfold, or conveniently upload recordings to your account for later access. With our app store, you can employ AI applications to detect, inspect, and monitor objects of interest, as well as create detailed 2D orthomaps and 3D models. Moreover, our solutions seamlessly integrate with your operational processes, offering features like live dashboards, notifications, and API connections. By simplifying collaboration, we facilitate instant connections between any combination of cameras for live broadcasts to stakeholders and third parties. The entire experience is browser-based, eliminating the need for plugins or downloads, which allows for effortless accessibility and use. This innovation empowers teams to make informed decisions quickly and efficiently.

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.