Data Connectivity and Interaction

Nuvoton technologies enable smart toys and board games to be data-connected and interactive, making the games more engaging. For example, with NFC technology, players can interact with game pieces easily, triggering various game events and effects.

Applicable Development Board
NuMaker-HMI-MA35D1-S1	1. Biometric Recognition Example: Patient identification for smart healthcare devices Integrating biometric recognition technology, such as fingerprint or iris scanning, into medical devices or systems. The MA35D1 processes data from biometric scanners to verify patient identities, ensuring the accuracy and privacy of medical information. This enables a more secure and convenient method of authentication when performing medical procedures or accessing patient records. 2. Object Classification Example: Product management in smart retail stores In retail environments, such as smart supermarkets or warehouses, camera systems are utilized to monitor product displays. The MA35D1 processes image data to categorize and identify various products automatically, keeping track of inventory status. This application aids in automating inventory management, updating product information in real time, and optimizing restocking and sales strategies
NuMaker-HMI-M467 NuMaker-IoT-M467	1. Vibration Detection Example: Smart fitness equipment Integrating vibration sensors into fitness gear, such as running shoes or fitness trackers. The Cortex-M4 processes data from the vibration sensors to analyze the user's movement patterns and intensity. This helps monitor and improve exercise efficiency, providing real-time feedback during activities like running or gym workouts. 2. Keyword Detection Example: Smart home entertainment systems Incorporating microphones and the Cortex-M4 processor into home entertainment systems, such as smart TVs or sound systems. The Cortex-M4 processes audio data to recognize users' voice commands, like "play music" or "pause video." This enables hands-free operation, enhancing the user experience without the need for remote controls. 3. Gesture Sensing Example: Smart conferencing systems Integrating gesture recognition technology into projectors or display devices in conference rooms. The Cortex-M4 processes data from IMUs to identify gestures made by the presenter, such as swiping to change slides or zooming in on a specific detail. This allows presenters to interact with the displayed content more naturally, improving the fluidity and interactivity of presentations.
NuMaker-M55M1	1.Vibration Detection Utilizing the M55M1 development board's precise analog-to-digital conversion and data processing capabilities, highly sensitive vibration detection of devices can be achieved. This vibration detection is crucial for predictive maintenance, fault diagnostics, and user feedback. For instance, in industrial equipment, vibration data can be used to predict mechanical wear, while in consumer electronics, vibration feedback provides haptic experiences, enhancing user interaction. 2. Keyword Detection The M55M1 development board's efficient DSP and NPU make it suitable for implementing keyword detection functionalities, which are essential for wake-word-enabled devices and voice-controlled appliances. Users can activate devices with specific wake words, enabling further voice command operations, leading to touchless control and an enhanced user experience. 3. Gesture Sensing By leveraging the M55M1 development board's image processing capabilities and machine learning algorithms, advanced gesture recognition can be realized. This gesture-sensing technology empowers users to interact with devices through simple hand gestures without the need for physical touch. It is particularly valuable in improving usability and accessibility, especially in public interactive screens and smart home systems. 4. Biometric Recognition The M55M1's powerful processing capabilities and algorithmic support make it well-suited for implementing biometric recognition functions, such as fingerprint recognition, facial recognition, or iris scanning. These features play a key role in enhancing security and enabling personalized services and can be utilized for personalized device access, secure payments, and authentication. 5. Object Classification Harnessing the M55M1 development board's high-speed processing and deep learning capabilities, complex object classification tasks can be achieved. In connected devices and smart systems, this technology can be employed to identify and classify various objects, leading to more intelligent environmental responses and user interactions. For example, smart retail systems can utilize object classification to recognize and track products, providing personalized shopping recommendations.

Applicable Development Board

NuMaker-HMI-MA35D1-S1

1. Biometric Recognition

Example: Patient identification for smart healthcare devices

Integrating biometric recognition technology, such as fingerprint or iris scanning, into medical devices or systems.
The MA35D1 processes data from biometric scanners to verify patient identities, ensuring the accuracy and privacy of medical information.
This enables a more secure and convenient method of authentication when performing medical procedures or accessing patient records.

2. Object Classification

Example: Product management in smart retail stores

In retail environments, such as smart supermarkets or warehouses, camera systems are utilized to monitor product displays.
The MA35D1 processes image data to categorize and identify various products automatically, keeping track of inventory status.
This application aids in automating inventory management, updating product information in real time, and optimizing restocking and sales strategies

NuMaker-HMI-M467

NuMaker-IoT-M467

1. Vibration Detection

Example: Smart fitness equipment

Integrating vibration sensors into fitness gear, such as running shoes or fitness trackers.
The Cortex-M4 processes data from the vibration sensors to analyze the user's movement patterns and intensity.
This helps monitor and improve exercise efficiency, providing real-time feedback during activities like running or gym workouts.

2. Keyword Detection

Example: Smart home entertainment systems

Incorporating microphones and the Cortex-M4 processor into home entertainment systems, such as smart TVs or sound systems.
The Cortex-M4 processes audio data to recognize users' voice commands, like "play music" or "pause video."
This enables hands-free operation, enhancing the user experience without the need for remote controls.

3. Gesture Sensing

Example: Smart conferencing systems

Integrating gesture recognition technology into projectors or display devices in conference rooms.
The Cortex-M4 processes data from IMUs to identify gestures made by the presenter, such as swiping to change slides or zooming in on a specific detail.
This allows presenters to interact with the displayed content more naturally, improving the fluidity and interactivity of presentations.

NuMaker-M55M1

1.Vibration Detection

Utilizing the M55M1 development board's precise analog-to-digital conversion and data processing capabilities, highly sensitive vibration detection of devices can be achieved. This vibration detection is crucial for predictive maintenance, fault diagnostics, and user feedback. For instance, in industrial equipment, vibration data can be used to predict mechanical wear, while in consumer electronics, vibration feedback provides haptic experiences, enhancing user interaction.

2. Keyword Detection

The M55M1 development board's efficient DSP and NPU make it suitable for implementing keyword detection functionalities, which are essential for wake-word-enabled devices and voice-controlled appliances. Users can activate devices with specific wake words, enabling further voice command operations, leading to touchless control and an enhanced user experience.

3. Gesture Sensing

By leveraging the M55M1 development board's image processing capabilities and machine learning algorithms, advanced gesture recognition can be realized. This gesture-sensing technology empowers users to interact with devices through simple hand gestures without the need for physical touch. It is particularly valuable in improving usability and accessibility, especially in public interactive screens and smart home systems.

4. Biometric Recognition

The M55M1's powerful processing capabilities and algorithmic support make it well-suited for implementing biometric recognition functions, such as fingerprint recognition, facial recognition, or iris scanning. These features play a key role in enhancing security and enabling personalized services and can be utilized for personalized device access, secure payments, and authentication.

5. Object Classification

Harnessing the M55M1 development board's high-speed processing and deep learning capabilities, complex object classification tasks can be achieved. In connected devices and smart systems, this technology can be employed to identify and classify various objects, leading to more intelligent environmental responses and user interactions. For example, smart retail systems can utilize object classification to recognize and track products, providing personalized shopping recommendations.

More to explore:

Intelligent Scoring IC

Artificial Intelligence (AI) and Machine Learning (ML) technologies are transforming the education sector, especially in the area of grading and assessment. Combined with Nuvoton MCUs and TinyML technology, a more efficient grading process can be achieved.

Smart Factory Automation

Factory automation involves connecting factory equipment to improve the efficiency and reliability of manufacturing control systems. This, in turn, reduces costs, improves quality, increases flexibility, and reduces environmental impact.

Animal Health Monitoring

Farmers can use technology tools to monitor the health of individual animals and adjust their nutrition as needed. This granular monitoring helps prevent disease and improves the herd's overall health.

Smart Washing Machine

Washing machines are required to clean clothes more efficiently and ensure higher safety and lower noise levels while minimizing energy, water, and detergent consumption.