[{"data":1,"prerenderedAt":140},["ShallowReactive",2],{"blog-en-/en/blog/tinyml-ai-revolution-at-the-edge":3},{"id":4,"title":5,"body":6,"description":123,"extension":124,"meta":125,"navigation":135,"path":136,"seo":137,"stem":138,"__hash__":139},"en_blog/en/blog/tinyml-ai-revolution-at-the-edge.md","TinyML: Artificial Intelligence Revolution at the Edge in Industrial Sensors",{"type":7,"value":8,"toc":114},"minimark",[9,14,23,27,30,52,56,77,81,84,100,104,107],[10,11,13],"h2",{"id":12},"introduction","Introduction",[15,16,17,18,22],"p",{},"When artificial intelligence is mentioned, massive servers and powerful graphics cards come to mind. However, such a big power source is not contained within a transmitter or vibration sensor in the industrial field. This is where ",[19,20,21],"strong",{},"TinyML (Tiny Machine Learning)"," comes in. TinyML is the art of running machine learning models on microcontrollers (MCUs) with only a few kilobytes of memory. This technology transforms industrial sensors into smart devices that \"understand what they see\" rather than just \"looking.\"",[10,24,26],{"id":25},"what-does-tinyml-change-in-sensors","What Does TinyML Change in Sensors?",[15,28,29],{},"Traditional sensors collect and transmit data. A smart sensor with TinyML:",[31,32,33,40,46],"ol",{},[34,35,36,39],"li",{},[19,37,38],{},"Local Decision Making",": Analyzes the data on site without sending it to the cloud. This means response time in milliseconds (zero latency).",[34,41,42,45],{},[19,43,44],{},"Bandwidth Savings",": Transmits data only when an abnormal situation (fault, leak, etc.) is detected. This reduces the energy and communication cost of IoT systems.",[34,47,48,51],{},[19,49,50],{},"Privacy and Security",": Since critical data is processed without leaving the device, cyber security risks are minimized.",[10,53,55],{"id":54},"industrial-application-examples","Industrial Application Examples",[57,58,59,65,71],"ul",{},[34,60,61,64],{},[19,62,63],{},"Anomaly Detection",": From the vibration of a motor, it can notice a previously unseen fault mode in seconds.",[34,66,67,70],{},[19,68,69],{},"Smart Filtering",": It uses deep learning models instead of classic filters to distinguish noise from real data (for example, the difference between churning in the tank and real filling).",[34,72,73,76],{},[19,74,75],{},"Sound Analysis",": Sound-based analysis systems that understand which bearing needs lubrication from the sounds made by machines in the factory.",[10,78,80],{"id":79},"amazeng-and-the-future-with-ai","Amazeng and the Future with AI",[15,82,83],{},"At Amazeng, we are making our data acquisition devices \"Edge AI\" compatible.",[57,85,86,97],{},[34,87,88,89,96],{},"High-resolution 24-bit data coming from our ",[19,90,91],{},[92,93,95],"a",{"href":94},"/en/products/zma-data-acquisition","ZMA Data Acquisition"," devices provide the highest quality training material for TinyML models.",[34,98,99],{},"The modern MCU infrastructure we use in our embedded system architecture allows libraries such as TensorFlow Lite Micro and Edge Impulse to run on our devices.",[10,101,103],{"id":102},"conclusion","Conclusion",[15,105,106],{},"TinyML is a quiet revolution that increases the \"IQ\" of industrial sensors. In the factories of the future, devices will not only be interconnected, but each will also have a small artificial intelligence in its own area of responsibility.",[15,108,109,113],{},[92,110,112],{"href":111},"/en/contact","Contact our engineers"," to get more information about your artificial intelligence-supported sensor projects and our TinyML-based solutions.",{"title":115,"searchDepth":116,"depth":116,"links":117},"",2,[118,119,120,121,122],{"id":12,"depth":116,"text":13},{"id":25,"depth":116,"text":26},{"id":54,"depth":116,"text":55},{"id":79,"depth":116,"text":80},{"id":102,"depth":116,"text":103},"TinyML, the art of running artificial intelligence on microcontrollers (MCUs) with limited resources, and its transformative power in industrial sensors.","md",{"date":126,"author":127,"readTime":128,"tags":129},"2025-12-03","Amazeng Technical Team",6,[130,131,132,133,134],"TinyML","Edge AI","Industrial Sensors","Artificial Intelligence","Embedded Systems",true,"/en/blog/tinyml-ai-revolution-at-the-edge",{"title":5,"description":123},"en/blog/tinyml-ai-revolution-at-the-edge","Ing82VGB6e09pHB2tpG-VD7lKpnX_bbrde_U0VvZm2o",1778229658951]