Smart Pedestrian Detection at the Edge

Pedestrian safety is an important part of modern smart city infrastructure. i-Cross Edge AI Control Panel is designed to support this need by using artificial intelligence to monitor pedestrian activity in real time.

Running on an NVIDIA Jetson Nano, the system can connect to a camera and automatically detect people in the monitored area. Instead of relying entirely on a remote server, the AI processing happens directly on the device.

Real-Time Pedestrian Monitoring

The application provides a live view from the connected camera while identifying pedestrians in the scene.

It can also track the direction of pedestrian movement, such as:

North to South

South to North

This information can be used to understand pedestrian activity and crossing patterns over time.

Connected and Easy to Monitor

i-Cross Edge AI can communicate with a central system through MQTT. This allows important information from the device to be shared with a monitoring platform.

The system can report:

• Device status

• Pedestrian detections

• Crossing activity

• System health

• Important alerts

This makes it easier to monitor multiple devices from a central location.

Device Health Monitoring

In addition to monitoring pedestrians, the application keeps an eye on the condition of the Jetson Nano.

It can provide information such as:

• CPU and GPU activity

• Memory usage

• Storage capacity

• Device temperature

• System uptime

Alerts can also be generated when certain conditions require attention, such as high temperature or low available storage.

Simple Control Panel

The application includes a desktop control panel with several main areas:

Dashboard

Provides the live camera view, pedestrian information, counters, and activity logs.

System Status

Shows the current condition of the device and its resources.

Settings

Allows operators to manage important application and device settings.

Remote Device Management

The system also supports remote actions, allowing authorized commands to be sent to the device. These can include restarting the device, managing remote desktop access, and performing software updates.

This can reduce the need for physical access when managing devices installed in the field.

Designed for Smart City Applications

i-Cross Edge AI Control Panel provides a foundation for intelligent pedestrian monitoring systems. By combining camera-based AI with real-time device monitoring and centralized communication, it can help organizations better understand pedestrian activity and manage distributed crossing detection devices.

The solution is designed to be lightweight, practical, and suitable for deployment across multiple locations.