The Open Analytics Blog
Implementing a CPU+FPGA-based real-time video analytics pipeline
This post is a follow-up to “Implementing a CPU-based real-time video analytics pipeline,” where we discussed a CPU-based end-to-end video analytics pipeline. As seen in that post, a CPU-based pipeline runs into severe performance bottlenecks. Here we discuss how we address and overcome these bottlenecks using FPGAs as hardware accelerators. We explain Megh’s Video Analytics
Megh’s platform strategy — Part 2
In part 1 (Megh’s platform strategy), we talked about the increasingly rapid explosion of data (from the Web, sensors, IOT devices, etc.), the need for efficient processing, and the value proposition of our real-time streaming analytics platform from the perspective of CIOs, data scientists, and developers. In this post, we discuss how the vendor-agnostic architecture
Megh VAS Beta 1 Release showcases acceleration of deep learning functions
We are excited to announce that the Megh Video Analytics Solution (Megh VAS) Beta 1 Release is available! The Megh VAS Beta 1 Release extends the earlier Megh VAS alpha releases. The alpha releases showcased inline processing of various streams, including filtering and transformations of data. For example, the Megh VAS Alpha Release for Intel
Video analytics use cases to manage COVID-19 response
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