Megh and Intel® performed a performance and validation assessment of Megh Video Analytics Solution (VAS) running on Intel® NUC kits with 11th or 12th generation Intel® Core™ processors. The kits are cost-effective, small-form factor hardware that provide customers with the performance, power, and accuracy they need to run Megh VAS at the edge. Results demonstrate
The explosion of smart devices, high-bandwidth networks like 5G, and the need to capture and discern data closer to the source have led to the need for a unified edge-analytics application development framework. Devices at the edge, however, are diverse, with each providing their own optimized framework. This makes application portability a big challenge. What
The following piece is from insight.tech, an Intel-sponsored publication leveraging the Intel® Partner Alliance to provide business and technical decision-makers the latest and greatest technology trends and business solutions in the IoT space. Fixed-to-mobile, AI-powered video analytics for buildings By Pedro Pereira. November 16, 2022. Smart buildings deliver continuous streams of data from sensors, cameras,
Megh’s VAS Portal provides an easy-to-use dashboard that can be accessed via any browser to manage multiple VAS Suite instances. Supported by a powerful microservices cluster on the backend, VAS Suite supports video analytics use cases for public safety, worker safety, and inventory management for deployment in smart buildings, smart warehouses, smart cities, and other
The Nimble application framework Nimble is a fast and lightweight service-based framework for implementing video analytics pipelines targeted for CPU, GPU, FPGA, and SOC platforms. As illustrated below, Nimble sits on top of the Arka Runtime, which manages deep learning inferencing on the targeted platforms and enables seamless integration of The Megh Platform into existing
Megh’s fully customizable, cross-platform Video Analytics Solution (VAS) is available as the VAS SDK toolkit and VAS Suite of products. VAS SDK is targeted for enterprises, system integrators (SI), OEMs, and developers, enabling full control to optimize video analytics pipelines and integrate highly customizable AI into applications. VAS SDK is one member of Megh’s family
With the release of Megh VAS 100 comes a new addition to the Megh Computing solution stack: the Nimble application framework. Nimble is a fast and lightweight service-based framework for implementing CPU, GPU, and FPGA video analytics pipelines. As illustrated below, Nimble sits on top of Arka, Sira, and Deep Learning Engine (DLE), enabling seamless
The Arka runtime is Megh’s data streaming framework. Arka enables applications to build custom data pipelines spanning multiple devices and accelerators. Low-level details are abstracted away by Arka’s resource manager, which maps an application’s pipeline request to the pool of available hardware. This technology enables low-latency, low-overhead data streaming over complex functional topologies through Arka’s
Four months into 2020, the world is facing a grave global health crisis: the outbreak of a novel coronavirus respiratory disease, COVID-19. Can new digital technology be used to help identify and mitigate the impact of COVID-19? Thankfully, the answer is yes. One technology now in the forefront of the global emergency is the use
Provides an overview on overcoming the limits of data center infrastructure and the challenges of FPGA deployment Portland, OR (April 18, 2019)—Megh Computing, Inc. today released a white paper for enterprise strategy and IT personnel titled “Using FPGAs for advanced real-time analytics of streaming data,” providing an overview of problems of and solutions to extracting