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8 Channel Tracking Sensor Module Board Trace Module Infrared Detection
8 Channel Infrared Detection Line Tracking Sensor Module HY-S301 contains 8 IR LED/phototransistor pairs. Each sensor has a separate digital I/O measurable output . This reflection sensor array is designed to be used as a line sensor, but it may also be used as a proximity or reflection sensor.
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Made In : | India |
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An 8-Channel Line Tracking Sensor is a popular sensor module used in robotics for line-following tasks. It is designed to detect and track a line, typically a black line on a white surface (or vice versa), using an array of infrared (IR) sensors. These sensors are placed in an 8-channel configuration to provide greater accuracy and precision in line detection, allowing robots to follow a path or detect obstacles.
Key Specifications of an 8-Channel Line Tracking Sensor:
1. Sensor Type:
- Infrared (IR) Sensors: Each channel of the sensor contains an infrared emitter (LED) and a receiver (photodiode or phototransistor). The IR light is reflected back to the receiver, which allows the sensor to detect the line (usually black) on a contrasting background (typically white).
2. Number of Channels:
- 8 Channels: The sensor module features 8 individual sensor channels. Each channel works independently to detect the line in its specific area. These channels are arranged in a line, usually placed parallel to the path the robot needs to follow.
3. Output Signal:
- Digital Output: Each of the 8 sensors provides a digital output (High/Low) based on whether the sensor detects the line or not. Typically:
- High (1): When the sensor detects the surface (light reflected).
- Low (0): When the sensor detects the line (no reflection).
- Analog Output (Optional): Some advanced models may provide analog output, giving more sensitivity and allowing more precise tracking.
4. Operating Voltage:
- Voltage Range: Typically between 3.3V and 5V.
- Can be powered by a 5V microcontroller (like Arduino) or a similar platform.
5. Current Consumption:
- Low Current Consumption: Typically, the sensor module consumes about 20-50mA, depending on the number of sensors activated.
6. Detection Range:
- Effective Detection Range: The detection range is typically 2-5 cm above the surface. The distance between the sensor and the line can affect the sensor’s detection capability.
7. Operating Conditions:
- Temperature Range: Works within a typical temperature range of -10°C to 70°C.
- Surface Type: Works best on surfaces with a high contrast between the line and the background (e.g., black line on white or white line on black).
8. Sensitivity:
- Adjustable Sensitivity: Some models have a potentiometer or variable resistor to adjust the sensitivity of the sensor, allowing it to adapt to different surfaces or line colors.
9. Dimensions:
- Size: The size can vary, but a typical 8-channel line tracking sensor is about 5-7 cm in length and 2-3 cm in width, with a small thickness of around 1 cm.
10. Mounting:
- The sensor is usually equipped with pins for easy connection to microcontrollers or robot circuits.
- Pinout: Typically includes power (VCC), ground (GND), and 8 signal pins corresponding to each channel’s output.
11. Response Time:
- Fast Response Time: The sensor's response time is usually in the order of milliseconds (ms), allowing it to track fast-moving robots effectively.
Applications of 8-Channel Line Tracking Sensor:
-
Line Following Robots:
- The most common application for an 8-channel line tracking sensor is in line-following robots. The sensors detect the black line on a white background (or vice versa) and help the robot steer and follow the path.
-
Maze Solving Robots:
- Used in competitive robot events (like maze-solving competitions), where robots must navigate through a maze by following the lines.
-
Autonomous Vehicles:
- Used in autonomous vehicles or automated guided vehicles (AGVs) that follow predefined paths in industrial applications, warehouses, or factories.
-
Obstacle Detection Systems:
- Some line tracking sensors are used to help robots avoid obstacles by detecting the boundaries of a path.
-
Robotics Education:
- In educational kits for teaching robotics, where students learn about sensors, line tracking, and basic robotic movement.
Example Circuit (Arduino Integration):
- The 8-channel line tracking sensor can easily be interfaced with platforms like Arduino using the digital input pins to read the sensor's output.
- The sensors can be connected to an Arduino board’s digital input pins (for example, pins 2-9), and the Arduino code can monitor the states of the sensors to control motors for line-following.
Arduino Code Concept Example:
// Define the sensor pins
int sensorPins[] = {2, 3, 4, 5, 6, 7, 8, 9}; // Digital pins connected to sensor
int sensorState[8]; // Array to store sensor states
void setup() {
for (int i = 0; i < 8; i++) {
pinMode(sensorPins[i], INPUT); // Set all sensor pins as inputs
}
Serial.begin(9600);
}
void loop() {
// Read all sensor values
for (int i = 0; i < 8; i++) {
sensorState[i] = digitalRead(sensorPins[i]);
}
// Print sensor states to Serial Monitor
for (int i = 0; i < 8; i++) {
Serial.print(sensorState[i]);
Serial.print(" ");
}
Serial.println();
// Based on sensor states, you can control motors to follow the line
// (code for motor control logic goes here)
delay(100); // Small delay before next loop
}
Advantages of 8-Channel Line Tracking Sensors:
- Greater Accuracy: With 8 channels, the robot can have better control over its movement and can follow the line more accurately, especially in sharp turns or curves.
- High Sensitivity: Multiple sensors provide more precise feedback and allow for better adjustments in real-time.
- Reliable Tracking: Multiple sensors ensure that even if one or two sensors lose track of the line, the others can still detect it.
Conclusion:
The 8-channel line tracking sensor is a highly effective and versatile tool for line-following robots and automated systems. It provides accurate feedback on line detection and enables smoother navigation for robots. Its application is not limited to hobby projects but is also useful in industrial automation and robotics education.
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