The TCS230 TCS3200 Color Sensor Recognition Module is a high-precision RGB color detection sensor designed for Arduino, microcontroller, and embedded system projects. This color sensor module converts light intensity into a frequency output, enabling accurate detection of red, green, blue, and clear light components. Using an advanced photodiode array with evenly distributed RGB and clear filters, the TCS3200 color sensor ensures stable, repeatable, and location-bias-free color measurement, making it suitable for educational, industrial, and DIY electronics applications in Bangladesh.

The TCS3200 color recognition module integrates the original TAOS TCS3200 sensor IC with onboard white LEDs to provide consistent illumination. It outputs a square-wave signal whose frequency is directly proportional to the detected light intensity, allowing direct interfacing with Arduino Uno, ESP8266, ESP32, Raspberry Pi, PIC, AVR, and other microcontrollers without additional ADC hardware. This makes the TCS230 TCS3200 sensor ideal for color sorting machines, robotics, automation projects, and learning kits.

Features:

• High-accuracy RGB color recognition using TCS230 TCS3200 sensor

• Converts light intensity to frequency output for easy microcontroller interfacing

• Detects red, green, blue, and clear light using selectable photodiode filters

• Programmable output frequency scaling for flexible measurement range

• Operates directly with Arduino and other 3V–5V logic microcontrollers

• Integrated white LEDs for stable and uniform color detection

• Standard 2.54mm pin headers for breadboard, PCB, and stripboard compatibility

• Clearly labeled pinout for quick and error-free wiring

• Suitable for educational, research, and industrial automation projects

Specifications:

• Operating Voltage: DC 3V to 5V

• Sensor Chip: TAOS TCS3200 / TCS230 compatible

• Output Signal: Square wave frequency output

• Output Frequency Range: 2Hz to 500kHz (typical)

• Frequency Scaling Options: Power Down, 2%, 20%, 100%

• Detection Method: RGB and clear photodiode array

• Best Detection Distance: Approximately 10mm

• Pin Pitch: 2.54mm standard header

• Interface Type: Digital output compatible with microcontrollers

• Board Type: Breadboard and PCB friendly

Pin Configuration and Function:

• S0: Output frequency scaling selection (used with S1)

• S1: Output frequency scaling selection (used with S0)

• OE: Output enable control (active low)

• GND: Ground connection

• S2: Photodiode type selection (used with S3)

• S3: Photodiode type selection (used with S2)

• OUT: Frequency output representing detected color intensity

• VCC: Power supply input (2.7V–5.5V)

Photodiode Selection Table:

• S2 Low, S3 Low: Red filter

• S2 Low, S3 High: Blue filter

• S2 High, S3 Low: Clear (no filter)

• S2 High, S3 High: Green filter

Output Frequency Scaling Table:

• S0 Low, S1 Low: Power down

• S0 Low, S1 High: 2% output frequency

• S0 High, S1 Low: 20% output frequency

• S0 High, S1 High: 100% output frequency

How Color Detection Works:

• Select a photodiode filter using S2 and S3 pins to isolate red, green, or blue light

• The sensor converts the detected light intensity into a proportional square-wave frequency

• Read the frequency using a microcontroller digital input pin

• Repeat the process for red, green, and blue filters

• Combine RGB frequency values to identify any visible color accurately

Hardware Required:

• TCS230 TCS3200 Color Sensor Recognition Module

• Arduino Uno or compatible microcontroller

• Jumper wires

• Breadboard or PCB (optional)

Arduino Connection Guide:

• S0 to Arduino Digital Pin 3

• S1 to Arduino Digital Pin 4

• S2 to Arduino Digital Pin 5

• S3 to Arduino Digital Pin 6

• OUT to Arduino Digital Pin 2

• VCC to Arduino 5V

• GND to Arduino GND

How to Use:

• Power the module with 3V–5V DC

• Set S0 and S1 pins to select desired frequency scaling

• Select photodiode filter using S2 and S3 pins

• Read output frequency from the OUT pin using a microcontroller

• Convert frequency values into RGB intensity data via software

• Use calibration to improve accuracy for specific lighting conditions

Applications:

• Arduino color detection projects

• Color sorting and classification systems

• Robotics line and object color recognition

• Industrial automation and quality control

• Ambient light sensing and calibration

• Educational electronics and STEM learning kits

• Test strip color reading and color matching systems

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