The Photoresistor detects ambient light levels in the environment, allowing traffic lights to automatically illuminate when it gets dark—ensuring visibility and safety during nighttime or poor weather conditions.

The Temperature & Humidity Sensor monitors environmental conditions and displays real-time data on an LCD screen, helping users understand the current atmosphere and potentially predict weather impacts on traffic.

The Water-level Sensor measures the depth of water on the road to detect potential flooding. And now, we will demonstrate it using a glass of water to simulate a flood scenario.

The Sound Sensor gauges noise levels in the environment. By analyzing sound data, we can assess the noise pollution caused by traffic and evaluate how congested or chaotic a traffic system might be.

The Camera System plays a crucial role in identifying vehicles and measuring traffic flow. It detects road status and sends signals to vehicle owners in real time, helping them make informed decisions about their route.

The Smart Traffic Light System dynamically adjusts the light timing based on the level of traffic congestion, providing flexible control for different traffic situations and reducing unnecessary delays.

The Control Software simulates and analyzes traffic flow, detects violations, and evaluates road surface quality. Let’s run the program now. As it operates, the software will assess traffic conditions and immediately send notifications to a designated Telegram group—making traffic management faster and more responsive.

The Drone is equipped with a camera and is capable of transporting goods to specific locations. Its purpose is to reduce traffic volume on the ground, minimizing congestion and increasing delivery efficiency.

The structure is equipped with a vibration sensor that detects seismic activity. When an earthquake occurs, the system activates protective mechanisms to ensure safety. Its main goal is to maintain traffic safety and protect infrastructure during natural disasters.