TCS3200 Arduino Library v0.0.1

The TCS3200 Arduino Library is designed with simplicity and extensibility in mind. It offers a wide range of functionalities, from basic color sensing to advanced features like white balancing, color space conversions, and nearest color detection.

Here's an overview of the key functions and their roles in the library:

• Initialization

  The begin() function initializes the TCS3200 sensor by configuring the necessary pins and setting default integration time and frequency scaling.

• Color Reading

  Access the red, green, and blue intensity values captured by the TCS3200 color sensor. These raw RGB values can be used to analyze the color composition of an object or its surroundings. The library provides four functions to read the intensity of each color channel: read_red(), read_green(), read_blue(), and read_clear(). The clear channel reading is used for calibration and to calculate the RGB color intensity values.

• Calibration

  Achieve better color accuracy with sensor calibration. The library includes methods to calibrate the sensor in both light and dark environments, resulting in more reliable and consistent color measurements.

  The calibrate(), calibrate_light(), and calibrate_dark() function enables calibration of the sensor. Calibration involves capturing readings for both the lightest and darkest colors to establish the range for color intensity mapping.

• Integration Time

  Set integration time and frequency scaling to adapt to different lighting environments. The integration_time() function allows users to get and set the integration time for each color reading, affecting the accuracy and sensitivity of color measurements on calibration. Integration time determines the period for which the sensor collects light data while calibrating.

• Frequency Scaling

  The frequency_scaling() function gets and sets the scaling factor for the sensor's frequency output to optimize the trade-off between accuracy and response time.

• White Balancing

  Perform white balancing to adjust color measurements for different light sources. By setting the white balance, color readings can be normalized to match the true colors under various lighting conditions, improving the accuracy of color detection. The white_balance() functions provide the ability to calibrate the sensor based on a known white color.

• Color Space Conversions

  The library offers functions to convert RGB color values to other color spaces such as HSV, CMYK, and CIE 1931 XYZ.

  • HSV (Hue, Saturation, Value): Convert RGB colors to the HSV color space. HSV representation provides intuitive and easy-to-understand values for color manipulation and analysis. Hue represents the color, saturation measures color intensity, and value indicates brightness.

  • CMYK (Cyan, Magenta, Yellow, Key/Black): Transform RGB colors to CMYK, a color model commonly used in printing. CMYK values represent the amount of cyan, magenta, yellow, and black needed to reproduce the given RGB color accurately on printed media.

  • CIE 1931 XYZ (CIE 1931 Color Space): Convert RGB colors to CIE 1931 XYZ color space, which approximates human vision. This color space provides tristimulus values that represent the physiological response of the human eye to light.

• Nearest Color Detection

  Find the nearest color from a given set of colors. This feature is useful in applications where specific color matching is required, such as sorting objects based on color or identifying color categories. The nearest_color() template function takes an array of color labels and RGBColor values and returns the nearest color label based on the current sensor readings.

• Upper and Lower Bound Interrupts

  Configure upper and lower bound interrupts for specific color thresholds. When the measured color crosses these thresholds, user-defined callback functions can be triggered, enabling real-time color-based event handling.

• Chroma Calculation

  Calculate the chroma value from RGB readings, providing an indication of the purity and saturation of a color. Higher chroma values signify more vibrant colors, while lower values indicate less saturated or desaturated colors.

• RGB Dominant Color

  Identify the dominant color from the RGB readings. This feature can be valuable when you need to determine the most prominent color in a scene or object.

• Examples and Documentation

  The TCS3200 Arduino Library comes with well-documented examples and usage guidelines to help developers get started quickly. The provided examples cover a wide range of functionalities, from basic color detection to complex color space conversions.