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PROJECTS Arduino

POV Display Using SPRESENSE

DFRobot Mar 27 2019 976

I made a full color POV display using SPRESENSE and DotStar LED tape.


Things used in this project

Hardware components

Sony Spresense boards (main & extension)
QTR-1A Reflectance Sensor
Adafruit DotStar Digital LED Strip
DFRobot Wireless Charging Module 5V/1A
DC Motor RS-540SH
SPRESENSE Mini Extension Board KASPI001
SparkFun Voltage-Level Translator TXB0104

Software apps and online services
Arduino IDE

Story

I made a full color POV (persistence of vision) display using SPRESENSE, wireless charging module and DotStar LED tape.

Constitution
LED tape, SPRESENSE and reflectance sensor are mounted on the rotating part, and LED tape uses DotStar. Using the wireless charging module, the power supply to the rotating part was carried out wirelessly.

One AA battery was used for the motor and three AA batteries for the wireless power supply to the rotating part.

POV Display Device
The motor was fixed with metal fittings and the handle was made with black wood, and the battery socket and power supply on/off slide switch were fixed.

The rotating part is completely independent as follows.

I used two Dotstar LED tapes. 29 cells LED tape is controlled by SPI4. 28 cells LED tape is controlled by SPI5.

I spread a milky film for the diffusion of light.

Voltage-Level Translator TXB0104 is used to convert the logic level of SPRESENSE from 1.8V to 5V.

I used the wireless charge module for power supply to the LED rotating part. It is only placed in the face-through the transmission coil to the rotation axis of the motor without almost processing.

Arduino IDE Code

The following libraries are used for Dotstar.https://github.com/adafruit/Adafruit_DotStar

Adafruit_DotStar_SPI5.h is a modification of Adafruit_DotStar.h to use SPI5.

When a reflectance sensor detects a marker, it decreases the output, so it detects it in the attachinterrupt and measures the time it takes to interrupt processing by one lap.
It switches the LED blink by dividing the time of one lap by 150. LED display patterns are stored as an array in graphics.h.

#include <SPI.h> 
#include "Adafruit_DotStar_SPI5.h"
#include <Adafruit_DotStar.h>
#include "graphics.h"
#define NUMPIXELS2 29 // Number of LEDs in strip
#define NUMPIXELS 57 // Number of LEDs in 2 strips
#define Frame 16
#define Div 150
#define Fclk 26000000
#define itrPin 19
int numRot = 0;
int numDiv = 0, numDiv2 = 0; 
int stateDiv = 0;
unsigned long rotTime, timeOld, timeNow;
Adafruit_DotStar_SPI5 strip5 = Adafruit_DotStar_SPI5(NUMPIXELS2, DOTSTAR_BGR);
Adafruit_DotStar strip4 = Adafruit_DotStar(NUMPIXELS2, DOTSTAR_BGR);
void setup() {
 Serial.begin(115200);
 strip5.begin();
 SPI5.beginTransaction(SPISettings(Fclk, MSBFIRST, SPI_MODE0));
 strip4.begin();
 SPI.beginTransaction(SPISettings(Fclk, MSBFIRST, SPI_MODE0));
 strip5.clear();
 strip4.clear();
 strip5.show();
 strip4.show();
 delay(500);
 attachInterrupt(digitalPinToInterrupt(itrPin), RotCount, FALLING );
}
void loop() {
 if(stateDiv == 1 && micros() - timeOld > rotTime / Div * (numDiv)){
   stateDiv = 0;
 }
 if(stateDiv == 0 && micros() - timeOld < rotTime / Div * (numDiv + 1)){
   stateDiv = 1;
   strip5.clear();
   strip4.clear();
   for(int i=0;i<NUMPIXELS2; i++){
     numDiv2 = numDiv+2;
     if(numDiv2 >= Div) numDiv2 -= Div;
     strip5.setPixelColor(i, pic[numRot][numDiv2][i*2]);
     strip4.setPixelColor(i, pic[numRot][numDiv][i*2+1]);
   }
   strip5.show();
   strip4.show();
   numDiv++;
   if(numDiv >= Div ) numDiv = 0;
 }
}
void RotCount() {
 timeNow = micros();
 rotTime = timeNow - timeOld;
 timeOld = timeNow;
 numRot++;
 if(numRot >= Frame) numRot = 0;
}

Display Graphic Data Creation Method (Python)

Create POV display data "graphics.h" in Python Code. Display data can be created from GIF or still images.

# -*- coding: utf-8 -*-
import cv2
import os
import math
from PIL import Image
#Array setting
NUMPIXELS = 57 #Number of LEDs
Div = 150 #Number of divisions per lap
Bright = 30 #LED Brightness 
Led0Bright = 3 #Brightness of center LED [%]
#File creation
file = open('graphics.h', 'w')
file.write('#define NUMPIXELS ' + str(NUMPIXELS) + '\n')
file.write('#define Div ' + str(Div) + '\n' + '\n')
#file.write('#define Frame ' + str(Frame) + '\n' + '\n')
file.write('const uint32_t pic [Frame][Div][NUMPIXELS] = {' + '\n')
# Read GIF file
gif_file_name = "xxx.gif"
gif = cv2.VideoCapture(gif_file_name)
#Image conversion function
def polarConv(pic, i):
   imgOrgin = cv2.imread(pic) #Read image data
   h, w, _ = imgOrgin.shape #Get image size
   #Image reduction
   imgRedu = cv2.resize(imgOrgin,(math.floor((NUMPIXELS * 2 -1)/h *w), NUMPIXELS * 2 -1))
   #cv2.imwrite(str(i) + '-resize.jpg',imgRedu)
   #Reduced image center coordinates
   h2, w2, _ = imgRedu.shape
   wC = math.floor(w2 / 2)
   hC = math.floor(h2 / 2)
   #Polar coordinate conversion image preparation
   imgPolar = Image.new('RGB', (NUMPIXELS, Div))
   #Polar transformation
   file.write('\t{\n')
   for j in range(0, Div):
       file.write('\t\t{')
       for i in range(0, hC+1):
           #Get coordinate color
           rP = int(imgRedu[hC + math.ceil(i * math.cos(2*math.pi/Div*j)),
                        wC - math.ceil(i * math.sin(2*math.pi/Div*j)), 2]
                    * ((100 - Led0Bright) / NUMPIXELS * i + Led0Bright) / 100 * Bright /100)
           gP = int(imgRedu[hC + math.ceil(i * math.cos(2*math.pi/Div*j)),
                        wC - math.ceil(i * math.sin(2*math.pi/Div*j)), 1]
                    * ((100 - Led0Bright) / NUMPIXELS * i + Led0Bright) / 100 * Bright /100)
           bP = int(imgRedu[hC + math.ceil(i * math.cos(2*math.pi/Div*j)),
                        wC - math.ceil(i * math.sin(2*math.pi/Div*j)), 0]
                    * ((100 - Led0Bright) / NUMPIXELS * i + Led0Bright) / 100 * Bright /100)
           file.write('0x%02X%02X%02X' % (rP,gP,bP))
           if i == hC:
               file.write('},\n')
           else:
               file.write(', ')
           imgPolar.putpixel((i,j), (rP, gP, bP))
   file.write('\t},\n\n')
#Generate directory to save screen capture
dir_name = "screen_caps"
if not os.path.exists(dir_name):
   os.mkdir(dir_name)
i = 0
while True:
   is_success, frame = gif.read()
   # Exit when the file can not be read
   if not is_success:
       break
   # Write out to an image file
   img_name = str(i) + ".jpg"
   img_path = os.path.join(dir_name, img_name)
   cv2.imwrite(img_path, frame)
   #conversion
   polarConv(img_path, i)
   i += 1
file.write('};' + '\n' + '\n')
file.close()
#Inserting the number of frames at the beginning of the file
with open('graphics.h') as f:
   l = f.readlines()
l.insert(0, '#define Frame ' + str(i) + '\n')
with open('graphics.h', mode='w') as f:
   f.writelines(l)

Test GIF File

I used the following GIF file. The number of frames is 16.


REVIEW