harshesh0

Introduction In the world of Industrial IoT (IIoT), a millisecond can be the difference between operational efficiency and a costly halt. We are entering the era of truly autonomous systems—devices that can see, hear, and understand their environment without constantly asking the cloud for permission. The key to this autonomy is efficient Vector Search on the Edge, along with an optimized on-device model for SOC However, running sophisticated vector similarity searches on a constrained IoT...

Software-defined technology is reshaping how defense systems operate, offering new levels of flexibility and precision. In particular, the rise of software-defined radar and counter-drone systems is changing the way military and security forces detect and respond to threats. This post explores how these technologies work, their role in covert and passive radar applications, and how they help manage cognitive overload in complex defense environments. I will also highlight the dual-use...

When building edge AI devices, the choice of System on Chip (SOC) is critical. The SOC acts as the brain of the device, handling everything from data processing to power management. Picking the wrong SOC can limit performance, increase costs, or reduce battery life. In this post, I’ll explain why selecting the right SOC matters, highlight key features to consider, and show how options like the QCS8250, QCS8550, and QCS6490 can make a difference. If you’re developing or evaluating edge AI...