As we traverse the steel and concrete of our cities daily, the roads beneath our feet, the bridges above our heads, and the houses we live in—these infrastructures that support modern life are quietly undergoing the erosion of time. Globally, aging infrastructure resembles a “silent crisis,” and the traditional passive maintenance model (Identify Issues → … Read more
#Abstract# Traditional anomaly localization of IoT sensor nodes suffers from poor accuracy due to neglecting the actual communication range limitations of the nodes. This paper proposes a study on anomaly localization of IoT sensor nodes based on the differential evolution algorithm. By utilizing known anchor nodes and the communication distances to unknown nodes, the positions … Read more
The Simple IoT platform provides a professional one-stop AI IoT learning platform, as well as a private deployment solution for IoT SaaS! The Simple IoT is a service platform that integrates IoT education and enterprise SaaS private deployment. It encompasses a series of core IoT capabilities including device management, secure data communication, message subscription, and … Read more
▼ Click the card below to follow me ▲ Click the card above to follow me Pycopy: The Mini Python Revolution for Embedded Systems Python has always been a “heavyweight” in the world of microcontrollers and microcontrollers. Traditional MicroPython, while powerful, can be a bit too resource-intensive for resource-constrained embedded systems. At this point, a … Read more
Hello everyone, recently I encountered a newcomer asking whether to learn ESP32 or STM32 first. First of all, these two devices are not aimed at the same direction. STM32 is an enhanced version of the STC51, which has very limited resources, including few registers and limited RAM and ROM. If you want to develop more … Read more
1. Technical Adaptability of Smart Edge Sensors and Lightweight Neural Networks Smart edge sensors, as core components of Internet of Things (IoT) terminal devices, need to perform data collection, feature extraction, and decision output in a constrained environment characterized bylow power consumption, low computing power, and real-time performance. Traditional deep learning models (such asResNet, YOLOv5, … Read more
In the past, domestic companies were followers in the field of cutting-edge technology, often waiting for trends to emerge from the United States before gaining traction. However, this long-standing convention is now being rewritten. One example is the smartphone sector, where OPPO and vivo have introduced designs featuring hidden cameras, finding new technological solutions beyond … Read more
Source | Qianjia Network Introduction Cloud computing provides us with the opportunity to store, manage, and analyze information on remote data servers. However, this technology also has drawbacks such as data processing delays. When using cloud computing for time-sensitive tasks, individuals may face various difficulties. Fortunately, the development of edge computing helps to overcome this … Read more
In this article, we will implement the following functionality: The mobile client, written in JavaScript, sends control signals to an HTTP server software written in C#, which then forwards the control signals to the video car. Upon receiving the control signals, the video car performs the corresponding actions. Simultaneously, the video car sends the captured … Read more
In application development, HTTP/2 is a highly efficient network protocol that has garnered attention due to its features such as multiplexing and header compression. nghttp2 is an open-source project that provides rich functionality for implementing HTTP/2. As embedded platforms like the ESP32 evolve, applying the features of nghttp2 on these platforms has become a significant … Read more