Mika N00BMmika

## README.md

      
              4 files
            
          
              2 forks
            
          
              9 comments
            
          
              20 stars
            
          
                JanLoebel
                / README.md
            
            
              Last active
              March 20, 2024 00:17
            
              
                Hikam S6 Reverse Engineering (HI3518 E)
              
          
    Reverse Engineering of Hikam S6 (HI3518 E)

Why?

I wanted to integrate the camera into my home security system. The only problem is that I want to toggle the alarm of the camera based on the security system status. Currently, this is only available via the app or a time trigger which is booth not sufficient for me. So the main target was to change the alarm status without the app.
What I've done so far:

My first try was to capture the TCP packages between the Android app and the camera. Soon I realized that they are only TCP+SSL (not pinned) requests to a cloud service of Hikam. So I installed an emulator with the Hikam app and Wireshark. I've seen some packages but the payload is very strange and even if I send the UDP commands again the status won't change. So this was a dead end for me.

  
## qcartpole.py
# Inspired by https://medium.com/@tuzzer/cart-pole-balancing-with-q-learning-b54c6068d947

import gym
import numpy as np
import math
from collections import deque

class QCartPoleSolver():
    def __init__(self, buckets=(1, 1, 6, 12,), n_episodes=1000, n_win_ticks=195, min_alpha=0.1, min_epsilon=0.1, gamma=1.0, ada_divisor=25, max_env_steps=None, quiet=False, monitor=False):
        self.buckets = buckets # down-scaling feature space to discrete range

## README.md

      
              2 files
            
          
              3 forks
            
          
              4 comments
            
          
              6 stars
            
          
                gestadieu
                / README.md
            
            
              Last active
              July 19, 2023 23:37
            
              
                Raspberry Pi Control Dashboard
              
          
    Requirement: node-red-dashboard. Obviously you will need a Raspberry Pi too!
This is a simple but very useful dashboard to control a Raspberry Pi (similar to Cayenne dashboard for RPi), it includes so far:

CPU Temperature
CPU Load %
Free RAM %
Disk Usage %
Actions: Shutdown and Reboot buttons

Feel free to fork and and more stuff ;-)

  
## getfit.py
#! /usr/bin/env python
#-*- coding: utf-8 -*-

import json
import httplib2

from datetime import datetime
from apiclient.discovery import build
from oauth2client.client import OAuth2WebServerFlow
	# Inspired by https://medium.com/@tuzzer/cart-pole-balancing-with-q-learning-b54c6068d947

	import gym
	import numpy as np
	import math
	from collections import deque

	class QCartPoleSolver():
	def __init__(self, buckets=(1, 1, 6, 12,), n_episodes=1000, n_win_ticks=195, min_alpha=0.1, min_epsilon=0.1, gamma=1.0, ada_divisor=25, max_env_steps=None, quiet=False, monitor=False):
	self.buckets = buckets # down-scaling feature space to discrete range
	#! /usr/bin/env python
	#-- coding: utf-8 --

	import json
	import httplib2

	from datetime import datetime
	from apiclient.discovery import build
	from oauth2client.client import OAuth2WebServerFlow