Flow Monitoring

As many commercial spaces begin to reopen, the need for effective and practical ways to maintain social distancing in retail stores and other capacity-constrained spaces is growing. Occupancy and people counting have long provided retailers with valuable data on foot traffic and consumer behavior. Now, the technology is proving to be an essential tool to help businesses prevent overcrowding and comply with COVID-19 regulations by using customer-facing displays to alert people of occupancy limits and when a space is at capacity, saving staff time and easing customer concerns.

Applicable Development Platforms
NuMaker-HMI-MA35D1-S1	1. Object Detection Example: Unauthorized Vehicle Detection Use a camera to monitor a parking lot or entrance area. The MA35D1 processes the image data from the camera to detect and recognize vehicles. When the system identifies an unauthorized vehicle, it can trigger an alarm or notify security personnel. 2. Biometric Recognition Example: Facial Recognition Access Control System Install a camera at the access point to capture the faces of people entering. The MA35D1 runs facial recognition algorithms to verify people's identities. If the person is authorized, the access gate is automatically opened; if the person is unauthorized, the gate remains locked, or an alarm is triggered. 3. Real-time Recognition Example: Real-time Behavior Analysis Use a camera to continuously monitor a critical area, such as a building entrance or a sensitive area. The MA35D1 analyzes the image data in real-time to identify specific behavior patterns, such as loitering, running, or other unusual behaviors. When a potential security threat is identified, immediate countermeasures are taken, such as activating a security alarm or notifying security personnel.
NuMaker-M55M1	1. Object Detection With the M55M1 board's powerful processor and neural network accelerator, real-time object detection in a crowd can be achieved. With a high-resolution camera, the system can identify and track various objects, such as luggage, packages, or other items. This capability is precious for security surveillance, lost-and-found tracking, and crowd management. 2. Biometric Recognition The M55M1 board's strong computational power enables it to handle complex biometric recognition tasks like facial recognition or gait analysis. This technology can be used to identify and record personal identities to improve the efficiency and accuracy of security checks. Additionally, biometric recognition can be used for personalized advertising and services, enhancing customer experiences. 3. Real-time Recognition In a rapidly changing crowd, real-time recognition capabilities are crucial. The M55M1 board can process data from multiple sources to recognize and analyze crowd dynamics in real-time. This includes counting the number of people passing through a specific area, tracking their movement paths, and monitoring particular behavior patterns. This data is valuable for public safety, congestion management, and space layout optimization.

Applicable Development Platforms

NuMaker-HMI-MA35D1-S1

1. Object Detection

Example: Unauthorized Vehicle Detection
Use a camera to monitor a parking lot or entrance area.
The MA35D1 processes the image data from the camera to detect and recognize vehicles.
When the system identifies an unauthorized vehicle, it can trigger an alarm or notify security personnel.

2. Biometric Recognition

Example: Facial Recognition Access Control System
Install a camera at the access point to capture the faces of people entering.
The MA35D1 runs facial recognition algorithms to verify people's identities.
If the person is authorized, the access gate is automatically opened; if the person is unauthorized, the gate remains locked, or an alarm is triggered.

3. Real-time Recognition

Example: Real-time Behavior Analysis
Use a camera to continuously monitor a critical area, such as a building entrance or a sensitive area.
The MA35D1 analyzes the image data in real-time to identify specific behavior patterns, such as loitering, running, or other unusual behaviors.
When a potential security threat is identified, immediate countermeasures are taken, such as activating a security alarm or notifying security personnel.

NuMaker-M55M1

1. Object Detection

With the M55M1 board's powerful processor and neural network accelerator, real-time object detection in a crowd can be achieved. With a high-resolution camera, the system can identify and track various objects, such as luggage, packages, or other items. This capability is precious for security surveillance, lost-and-found tracking, and crowd management.

2. Biometric Recognition

The M55M1 board's strong computational power enables it to handle complex biometric recognition tasks like facial recognition or gait analysis. This technology can be used to identify and record personal identities to improve the efficiency and accuracy of security checks. Additionally, biometric recognition can be used for personalized advertising and services, enhancing customer experiences.

3. Real-time Recognition

In a rapidly changing crowd, real-time recognition capabilities are crucial. The M55M1 board can process data from multiple sources to recognize and analyze crowd dynamics in real-time. This includes counting the number of people passing through a specific area, tracking their movement paths, and monitoring particular behavior patterns. This data is valuable for public safety, congestion management, and space layout optimization.

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