Lidar POC for Vincent

Last Updated or created 2022-04-01

Using Python, Raspberry, a lidar module, a servo, display .. and a 3Dprinted holder.

Proof of concept was to see if it was easy to implement a lidar radar for boat navigation.

#!/usr/bin/env python
import math
import random
import pygame
from pygame.locals import *
import time
import serial
import pigpio

GPIO = 18
ser = serial.Serial("/dev/ttyUSB0", 115200)

pi = pigpio.pi()
distance = 0
pygame.init()
screen = pygame.display.set_mode((480, 320))
while True:
        screen.fill((0,0,0))
        pygame.draw.circle(screen, (0,128,0), (240,320), 100,1)
        pygame.draw.circle(screen, (0,128,0), (240,320), 200,1)
        pygame.draw.circle(screen, (0,128,0), (240,320), 300,1)
        for deze in range(10,170,5):
            count = ser.in_waiting
            if count > 8:
                    recv = ser.read(9)
                    ser.reset_input_buffer()
                    if recv[0] == 'Y' and recv[1] == 'Y': # 0x59 is 'Y'
                        low = int(recv[2].encode('hex'), 16)
                        high = int(recv[3].encode('hex'), 16)
                        global distance
                        distance = low + high * 256
            res = distance
            #print res
            x =  res * math.cos(math.radians(deze))
            y =  res * math.sin(math.radians(deze))
            xreal = x + 240
            yreal = 320 - y
            pygame.draw.line(screen, (0, 255, 0), (240, 320), (xreal, yreal))

            pygame.time.wait(15)
            pygame.display.flip()
            #print(res)
            pi.set_servo_pulsewidth(GPIO, deze * 11 + 500)
            time.sleep(0.2)
        screen.fill((0,0,0))
        pygame.draw.circle(screen, (0,128,0), (240,320), 100,1)
        pygame.draw.circle(screen, (0,128,0), (240,320), 200,1)
        pygame.draw.circle(screen, (0,128,0), (240,320), 300,1)
        for deze in range(170,10,-5):
            count = ser.in_waiting
            if count > 8:
                    #print count
                    recv = ser.read(9)
                    ser.reset_input_buffer()
                    if recv[0] == 'Y' and recv[1] == 'Y': # 0x59 is 'Y'
                        low = int(recv[2].encode('hex'), 16)
                        high = int(recv[3].encode('hex'), 16)
                        global distance
                        distance = low + high * 256
            res = distance
            x =  res * math.cos(math.radians(deze))
            y =  res * math.sin(math.radians(deze))
            xreal = x + 240
            yreal = 320 - y
            pygame.draw.line(screen, (0, 255, 0), (240, 320), (xreal, yreal))
            pygame.time.wait(15)
            pygame.display.flip()
            pi.set_servo_pulsewidth(GPIO, deze * 11 + 500)
            time.sleep(0.2)
#pi.set_servo_pulsewidth(GPIO, 0)

Music Page Turner

Last Updated or created 2024-04-12

UPDATE: 20230320 new version

My first version of the Bluetooth page turner.

This was made using an Arduino and some buttons.
I’m using Fbreader and Ebookdroid on the tablet.

Code:

Note: Volume buttons work for both apps, if you want to use other keys, you need to put a keymap.xml file in your fbreader books directory on your android device to remap those!

#include <BleKeyboard.h>

#define RIGHT_TURN 4
#define LEFT_TURN 5

BleKeyboard bleKeyboard("fashpageturner", "Bluetooth Device Manufacturer", 100);

void setup() {
  bleKeyboard.begin();
  
  pinMode(LEFT_TURN, INPUT_PULLUP);
  pinMode(RIGHT_TURN, INPUT_PULLUP);
}

void loop() {
  if (bleKeyboard.isConnected() && !digitalRead(RIGHT_TURN)) {
    bleKeyboard.press(KEY_MEDIA_VOLUME_UP);
    delay (100);
    bleKeyboard.releaseAll();
  }
  if (bleKeyboard.isConnected() && !digitalRead(LEFT_TURN)) {
    bleKeyboard.press(KEY_MEDIA_VOLUME_DOWN);
    delay (100);
    bleKeyboard.releaseAll();
  }

}

NEW Version

Arpscanner

Last Updated or created 2022-09-19

Changed stuff in my arpscanner

I want to know whats on my network, and be informed when a alien device connects.
This also helps me gathering all devices and macaddresses for a cmdb.

I’ve got below in my crontab

5 * * * * root /usr/local/bin/arpscanner

And the script:

#!/bin/bash
# Using a scanner on a specific vlan/interface
arp-scan -l -g  -I p1p1.10 | grep ^10 | grep -vi packets > /var/log/arpscanner
cat /var/log/arpscanner | awk '{ print $2 }'| while read ; do
grep $REPLY /var/local/arpscanner.lst >/dev/null || echo $REPLY | mail -s arpscanner henri@henriaanstoot.nl
done

New and checked devices i put in the file mentioned above:
/var/local/arpscanner.lst

                00:21:5d:gg:gg:7a       Description
                ac:67:b2:gg:gg:a0       Liligo Twatch
                b8:27:eb:gg:dd:fd       Nieuwe octoprint
                d8:f1:5b:gg:gg:4a       WLAN Dungeon
                48:3f:da:gg:gg:fe       Uboot ESP
                8e:93:79:gg:gg:5d       Tablet Monique
                d8:f1:5b:gg:gg:06       ESP Radar
                dc:a6:32:gg:gg:fb       RPI4
                00:1e:ec:gg:gg:ab       laptop
                68:05:ca:gg:gg:68       storage bak

        etcetera

Machine Learning

Last Updated or created 2022-09-07

Today i started with Coursera’s Machine Learning course.

My friend aloha is doing interesting stuff with ML, but recently i’ve been interested in a work related ML project.

Besides this course i’m following a spotify Podcast called “Machine Learning Guide”, i listen to this on my way to work and back.

I’ve been playing with a lot of code after that. Luckily there are many ebooks about this subject.

  • One of the first was a python program wich used the length of a person and shoesize to determine if it was a man or a woman
  • Another fun one was a program with could determine if a wine was red or white only based by a description
  • There are several graphic based programs i’ve tried. Deepfake, 8mm film enhancers, image classifiers, openface
  • For sound there was voice cloner to test. And audio to text (which i used to transcribe old cassette tapes and VHS tapes.

UPDATE: In 2022 i used what i have learned to enrich my photo metadata.
https://www.henriaanstoot.nl/2022/05/29/photo-manager-addition-using-ml/