Smart Kitchen Range Hood

Modern kitchen range hoods provide powerful ventilation and feature advanced AI technology that intelligently adjusts fan speed and run time-based on cooking needs, maximizing energy efficiency. Additionally, they boast user-friendly interfaces for intuitive operation and ambient lighting to enhance the cooking experience.

Furthermore, smart range hoods can connect to the Home Area Network (HAN), enabling them to become part of the Internet of Things (IoT). This means you can remotely control the range hood, adjust settings, or even ensure it's turned off when you're away from home, using your smartphone or other smart devices. AI technology also allows the range hood to automatically detect smoke and odors and adjust ventilation speed as needed, providing more efficient air cleaning.

In summary, modern kitchen range hoods have evolved into versatile appliances combining ventilation, energy efficiency, quiet operation, smart connectivity, and AI technology, creating a more intelligent and comfortable kitchen environment.

Applicable development boards
NuMaker-HMI-M467 NuMaker-IoT-M467	1. Vibration Monitoring Example: Kitchen Exhaust Fan Efficiency Monitoring Use vibration sensors to monitor the motor and fan operation of the kitchen exhaust fan. Cortex-M4 analyzes vibration data to assess the equipment's operational efficiency and health status. When abnormal vibrations are detected, such as unusually high vibration intensity, indicating potential wear or blockage in the motor or fan, the system prompts the user for inspection or maintenance. 2. Anomaly Detection Example: Smoke and Temperature Anomaly Monitoring Integrate smoke sensors and temperature sensors to monitor the kitchen environment. Cortex-M4 processes sensor data to detect potential fire or overheating risks. Once smoke concentration or temperature exceeds safety thresholds, automatically trigger alarms and initiate safety procedures, such as turning off related appliances. 3. Real-time Recognition Example: Automatic Cooking Mode Adjustment Utilize an embedded camera to capture cooking activities on the stovetop. Cortex-M4 runs image recognition algorithms to analyze the cooking situation in real-time, such as identifying the type of food being cooked. Based on the recognition results, automatically adjust the exhaust fan's speed and operation mode to adapt to different cooking needs
NuMaker-M55M1	1. Vibration Detection The M55M1's high-precision analog-to-digital conversion and data processing capabilities make it an ideal choice for monitoring vibrations in the range hood. This feature is crucial for preventive maintenance of the appliance. For example, unusual vibrations could be an early indication of fan imbalance or bearing damage. Monitoring and analyzing these vibration data in real-time allow timely maintenance or repairs to be scheduled, extending the equipment's lifespan and ensuring efficient operation. 2. Anomaly Detection Leveraging the M55M1's powerful processor and machine learning capabilities, the range hood can implement highly accurate anomaly detection. This encompasses various aspects, from temperature anomalies and smoke concentration to sound abnormalities. For instance, if the range hood detects an unusually high temperature in the cooking area, it can automatically adjust the fan speed or trigger an alarm. Such intelligent monitoring not only enhances safety but also improves energy efficiency. 3. Real-time Recognition The M55M1's robust computing power can enable real-time recognition features in the range hood. These include recognizing cooking activities (such as cooking type) and sound and odor analysis. For example, the system can identify the type of food being cooked (e.g., frying or boiling) and automatically adjust settings based on the required extraction intensity. Additionally, by monitoring the kitchen's sounds and odors in real-time, the range hood can provide helpful feedback and suggestions during the cooking process, enhancing the overall cooking experience.

Applicable development boards

NuMaker-HMI-M467

NuMaker-IoT-M467

1. Vibration Monitoring

Example: Kitchen Exhaust Fan Efficiency Monitoring

Use vibration sensors to monitor the motor and fan operation of the kitchen exhaust fan.
Cortex-M4 analyzes vibration data to assess the equipment's operational efficiency and health status.
When abnormal vibrations are detected, such as unusually high vibration intensity, indicating potential wear or blockage in the motor or fan, the system prompts the user for inspection or maintenance.

2. Anomaly Detection

Example: Smoke and Temperature Anomaly Monitoring

Integrate smoke sensors and temperature sensors to monitor the kitchen environment.
Cortex-M4 processes sensor data to detect potential fire or overheating risks.
Once smoke concentration or temperature exceeds safety thresholds, automatically trigger alarms and initiate safety procedures, such as turning off related appliances.

3. Real-time Recognition

Example: Automatic Cooking Mode Adjustment

Utilize an embedded camera to capture cooking activities on the stovetop.
Cortex-M4 runs image recognition algorithms to analyze the cooking situation in real-time, such as identifying the type of food being cooked.
Based on the recognition results, automatically adjust the exhaust fan's speed and operation mode to adapt to different cooking needs

NuMaker-M55M1

1. Vibration Detection

The M55M1's high-precision analog-to-digital conversion and data processing capabilities make it an ideal choice for monitoring vibrations in the range hood. This feature is crucial for preventive maintenance of the appliance. For example, unusual vibrations could be an early indication of fan imbalance or bearing damage. Monitoring and analyzing these vibration data in real-time allow timely maintenance or repairs to be scheduled, extending the equipment's lifespan and ensuring efficient operation.

2. Anomaly Detection

Leveraging the M55M1's powerful processor and machine learning capabilities, the range hood can implement highly accurate anomaly detection. This encompasses various aspects, from temperature anomalies and smoke concentration to sound abnormalities. For instance, if the range hood detects an unusually high temperature in the cooking area, it can automatically adjust the fan speed or trigger an alarm. Such intelligent monitoring not only enhances safety but also improves energy efficiency.

3. Real-time Recognition

The M55M1's robust computing power can enable real-time recognition features in the range hood. These include recognizing cooking activities (such as cooking type) and sound and odor analysis. For example, the system can identify the type of food being cooked (e.g., frying or boiling) and automatically adjust settings based on the required extraction intensity. Additionally, by monitoring the kitchen's sounds and odors in real-time, the range hood can provide helpful feedback and suggestions during the cooking process, enhancing the overall cooking experience.

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Smart Kitchen Range Hood

Modern kitchen range hoods provide powerful ventilation and feature advanced AI technology that intelligently adjusts fan speed and run time-based on cooking needs, maximizing energy efficiency.

Smart Home Appliances

Home control and information security Smart home appliances learn to adjust to lifestyles constantly. Nuvoton technology and integrated applications enable devices to connect and communicate to detect, track, and control energy consumption and costs, air quality, lighting, access control, and information security, and the entire home can operate as a fully integrated system.