Rtone, an ST authorized partner, is a product development studio that supports its customers in the study, design, industrialization, production, and maintenance of intelligent, connected solutions.As integrators specialized in the field of IoT, Rtone has developed its skills in embedded machine learning and turned to our NanoEdge AI Studio tool to quickly develop a demonstration of anomaly detection on an engine and a pump. The tool allowed a rapid and guided implementation of a ready-to-use...| STMicroelectronics – STM32 AI
Panasonic, a leading producer of e-assisted bikes in Japan, offers a wide variety of products for various uses to the Japanese market. The company has implemented a tire pressure monitoring system for their TiMO A e-assisted bike, which combines the STM32F3 microcontroller and STM32Cube.AI. Based on information from the motor and the bicycle speed sensor, the system generates a warning to inflate the tires if necessary. Their solution leverages an advanced AI function that simplifies tire air...| STMicroelectronics – STM32 AI
Have you ever wondered about the status of the package you have delivered? Has any impact caused significant damage to the contents of the package? Sensors can assist in monitoring these conditions, but it is essential to have low power consumption to increase battery life. This is where edge AI comes into play. At the sensor level, it can help save power while tracking the state of your package and detecting any possible events. In this use case, we will show you how to implement a smart ass...| STMicroelectronics – STM32 AI
Maintaining an active lifestyle is essential for our overall well-being. However, accurately understanding and tracking our activities can be challenging. Have you ever wondered whether you are performing your yoga poses and exercises correctly? If so, then this use case is for you. The yoga pose recognition use case is intended to classify various classes corresponding to different yoga poses. Whether it is a “cobra pose” or a “tree pose” or many others, the algorithm can recognize i...| STMicroelectronics – STM32 AI
Artificial intelligence revolutionizes the precision of human activity recognition, and edge AI enables these algorithms to be embedded everywhere. They can run locally without disclosing any personal information and are embedded in devices such as smartwatches and wristbands. If you are developing such an application and are concerned about power consumption, this use case is for you. The gym activity recognition use case serves as a fitness example for wearable devices, recognizing activiti...| STMicroelectronics – STM32 AI
The challenge for designers who wish to monitor warning signs of imminent equipment failure is to build reliable, battery-operated sensor nodes for predictive maintenance applications. Monitoring can occur at the MCU level, by running an AI model on the STM32 for instance. However, further improvements in terms of power consumption can be obtained by running the model at the sensor level. In this use case, we will show you how to easily create an anomaly detection solution that runs on a MEMS...| STMicroelectronics – STM32 AI
In today’s fast-paced world, smart homes and access control systems have become a necessity for people who value safety and efficiency. With AI face identification running on STM32 microcontrollers, anyone can now experience security-grade applications without compromising performance or biometric data privacy. ID3 Technologies, an ST authorized partner company, has developed a tiny, fast and accurate AI software solution for face recognition. It is already available on STM32H7 and can be e...| STMicroelectronics – STM32 AI
Did you know that one out of four fires is triggered by an electrical issue? Most of them are caused by electrical arcs. That is why it is critical to detect them and react as quickly as possible.As the market evolves, we see new and different types of applications emerging that request more & more innovations to protect against electrical arcs: solar panels, batteries, power tools, e-bikes and so on. Rule-based algorithms exist today to improve the safety of electrical installations, but the...| STMicroelectronics – STM32 AI
Detection of personal protective equipment on workers using an object detection AI model trained with the STM32 model zoo.| STMicroelectronics - STM32 AI
