Make a surveillance camera from your raspberry pi!

Related tags

Deep Learningrpi-surveillance
Overview

rpi-surveillance

Make a surveillance camera from your Raspberry Pi 4!

The surveillance is built as following: the camera records 10 seconds video and if a motion was detected - sends the video to telegram channel.

The timestamp is printed on videos, so it is better to set the correct time on your Raspberry Pi.

The motion detection works in the following way: the camera’s H.264 encoder calculates motion vector estimates while generating compressed video. Using these vectors we threshold them by --magnitude-th argument. If more than --vectors-quorum vectors thresholded - mark current frame as containing motion. If there are more than --detection-frames consecutive frames with motion - motion detected.

Tested on Raspberry Pi 4 (4 RAM) + NoIR Camera V2.

Installation

Install package

Install Python 3 requirements:

pip3 install --user -r requirements.txt

Install provided .deb package:

sudo dpkg -i <path/to/downloaded/rpi-surveillance.deb>
sudo apt install -f

Note: the installation supposes that you already enabled camera module on your Raspberry Pi.

Create telegram bot and chat

  1. Write to @BotFather in telegram and create a bot:
/start
/newbot
<name of your bot>
<username of your bot>_bot

You will get the TOKEN. Save it for future use.

  1. Create a private channel where you will receive video sequences with motion.
  2. Add created bot to the channel (rerquires only "post messages" permission).
  3. Send message test to the channel.
  4. Run /usr/lib/rpi-surveillance/get_channel_id to get the CHANNEL_ID. Save it for future use.

Usage

To launch surveillance just run rpi-surveillance with your TOKEN and CHANNEL_ID, for example:

rpi-surveillance --token 1259140266:WAaqkMycra87ECzRZwa6Z_8T9KB4N-8OPI --channel-id -1003209177928

You can set various parameters of the surveillance:

usage: rpi-surveillance [-h] [--config CONFIG] --token TOKEN --channel-id
                        CHANNEL_ID [--temp-dir TEMP_DIR] [--log-file LOG_FILE]
                        [--resolution {640x480,1280x720,1920x1080}]
                        [--fps {25,30,60}] [--rotation {0,90,180,270}]
                        [--duration DURATION] [--magnitude-th MAGNITUDE_TH]
                        [--vectors-quorum VECTORS_QUORUM]
                        [--detection-frames DETECTION_FRAMES]

optional arguments:
  -h, --help            show this help message and exit
  --config CONFIG       Path to config file.
  --token TOKEN         Token for your telegram bot.
  --channel-id CHANNEL_ID
                        Telegram channel ID. If you don't have it please, send
                        a message to your channel and run /usr/lib/rpi-
                        surveillance/get_channel_id with your token.
  --temp-dir TEMP_DIR   Path to temporary directory for video saving before
                        sending to channel. Don't change it if you don't know
                        what you're doing.
  --log-file LOG_FILE   Path to log file for logging.
  --resolution {640x480,1280x720,1920x1080}
                        Camera resolution. Default - 640x480.
  --fps {25,30,60}      Frames per second. Default - 25.
  --rotation {0,90,180,270}
                        Frame rotation. Default - 0.
  --duration DURATION   Duration of videos in seconds. Default - 10.
  --magnitude-th MAGNITUDE_TH
                        Magnitude threshold for motion detection (lower - more
                        sensitive). Defaults: for 640x480 - 15, for 1280x720 -
                        40, for 1920x1080 - 65.
  --vectors-quorum VECTORS_QUORUM
                        Vectors quorum for motion detection (lower - more
                        sensitive). Defaults: for 640x480 - 10, for 1280x720 -
                        20, for 1920x1080 - 40.
  --detection-frames DETECTION_FRAMES
                        The number of consecutive frames with detected motion
                        to send an alert.

Build

Build was done using dpkg-buildpackage.

You might also like...
Make your master artistic punk avatar through machine learning world famous paintings.
Make your master artistic punk avatar through machine learning world famous paintings.

Master-art-punk Make your master artistic punk avatar through machine learning world famous paintings. 通过机器学习世界名画制作属于你的大师级艺术朋克头像 Nowadays, NFT is beco

Philipjhc 53 Dec 27, 2022
Python-experiments - A Repository which contains python scripts to automate things and make your life easier with python
Python-experiments - A Repository which contains python scripts to automate things and make your life easier with python

Python Experiments A Repository which contains python scripts to automate things

Vivek Kumar Singh 11 Sep 25, 2022
A very lightweight monitoring system for Raspberry Pi clusters running Kubernetes.
A very lightweight monitoring system for Raspberry Pi clusters running Kubernetes.

OMNI A very lightweight monitoring system for Raspberry Pi clusters running Kubernetes. Why? When I finished my Kubernetes cluster using a few Raspber

Matias Godoy 148 Dec 29, 2022
Run object detection model on the Raspberry Pi

Using TensorFlow Lite with Python is great for embedded devices based on Linux, such as Raspberry Pi.

Dimitri Yanovsky 6 Oct 8, 2022
Tutorial to set up TensorFlow Object Detection API on the Raspberry Pi
Tutorial to set up TensorFlow Object Detection API on the Raspberry Pi

A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi

Evan 1.1k Dec 26, 2022
An air quality monitoring service with a Raspberry Pi and a SDS011 sensor.

Raspberry Pi Air Quality Monitor A simple air quality monitoring service for the Raspberry Pi. Installation Clone the repository and run the following

rydercalmdown 24 Dec 9, 2022
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

Evan 1.3k Jan 2, 2023
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

YOLOv5-Lite：lighter, faster and easier to deploy Perform a series of ablation experiments on yolov5 to make it lighter (smaller Flops, lower memory, a

pogg 1.5k Jan 5, 2023
A facial recognition doorbell system using a Raspberry Pi

Facial Recognition Doorbell This project expands on the person-detecting doorbell system to allow it to identify faces, and announce names accordingly

rydercalmdown 22 Apr 15, 2022
Releases(v2.2.2)
Owner
Vladyslav
Machine learning and computer vision developer.
Vladyslav
GitHub Repository
NaijaSenti is an open-source sentiment and emotion corpora for four major Nigerian languages

NaijaSenti is an open-source sentiment and emotion corpora for four major Nigerian languages. This project was supported by lacuna-fund initiatives. Jump straight to one of the sections below, or jus

Hausa Natural Language Processing 14 Dec 20, 2022
Deploy pytorch classification model using Flask and Streamlit

Deploy pytorch classification model using Flask and Streamlit

Ben Seo 1 Nov 17, 2021
Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

U-GAT-IT — Official PyTorch Implementation : Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Imag

Hyeonwoo Kang 2.4k Jan 04, 2023
Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, as a standalone package for Pytorch

Triangle Multiplicative Module - Pytorch Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or c

Phil Wang 22 Oct 28, 2022
It is a simple library to speed up CLIP inference up to 3x (K80 GPU)

CLIP-ONNX It is a simple library to speed up CLIP inference up to 3x (K80 GPU) Usage Install clip-onnx module and requirements first. Use this trick !

Gerasimov Maxim 93 Dec 20, 2022
Target Propagation via Regularized Inversion

Target Propagation via Regularized Inversion The present code implements an ideal formulation of target propagation using regularized inverses compute

Vincent Roulet 0 Dec 02, 2021
Research on Event Accumulator Settings for Event-Based SLAM

Research on Event Accumulator Settings for Event-Based SLAM This is the source code for paper "Research on Event Accumulator Settings for Event-Based

Robin Shaun 26 Dec 21, 2022
Uni-Fold: Training your own deep protein-folding models.

Uni-Fold: Training your own deep protein-folding models. This package provides and implementation of a trainable, Transformer-based deep protein foldi

DeepModeling 88 Jan 03, 2023
[ACM MM 2021] TSA-Net: Tube Self-Attention Network for Action Quality Assessment

Tube Self-Attention Network (TSA-Net) This repository contains the PyTorch implementation for paper TSA-Net: Tube Self-Attention Network for Action Qu

ShunliWang 18 Dec 23, 2022
QAHOI: Query-Based Anchors for Human-Object Interaction Detection (paper)

QAHOI QAHOI: Query-Based Anchors for Human-Object Interaction Detection (paper) Requirements PyTorch = 1.5.1 torchvision = 0.6.1 pip install -r requ

38 Dec 29, 2022
Original Implementation of Prompt Tuning from Lester, et al, 2021

Prompt Tuning This is the code to reproduce the experiments from the EMNLP 2021 paper "The Power of Scale for Parameter-Efficient Prompt Tuning" (Lest

Google Research 282 Dec 28, 2022
Poisson Surface Reconstruction for LiDAR Odometry and Mapping

Poisson Surface Reconstruction for LiDAR Odometry and Mapping Surfels TSDF Our Approach Table: Qualitative comparison between the different mapping te

Photogrammetry & Robotics Bonn 305 Dec 21, 2022
Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.

Rayvens augments Ray with events. With Rayvens, Ray applications can subscribe to event streams, process and produce events. Rayvens leverages Apache

CodeFlare 32 Dec 25, 2022
A repository for interferometer controller code.

dses-interferometer-controller A repository for interferometer controller code, hardware, and simulations. See dses.science for more information on th

Eli Reed 1 Jan 17, 2022
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

2021: A Year Full of Amazing AI papers- A Review 📌 A curated list of the latest breakthroughs in AI by release date with a clear video explanation, l

Louis-François Bouchard 2.9k Dec 31, 2022
PyTorch implementation of DeepDream algorithm

neural-dream This is a PyTorch implementation of DeepDream. The code is based on neural-style-pt. Here we DeepDream a photograph of the Golden Gate Br

121 Nov 05, 2022
JDet is Object Detection Framework based on Jittor.

JDet is Object Detection Framework based on Jittor.

135 Dec 14, 2022
Super-Fast-Adversarial-Training - A PyTorch Implementation code for developing super fast adversarial training

Super-Fast-Adversarial-Training This is a PyTorch Implementation code for develo

LBK 26 Dec 02, 2022
NeuralDiff: Segmenting 3D objects that move in egocentric videos

NeuralDiff: Segmenting 3D objects that move in egocentric videos Project Page | Paper + Supplementary | Video About This repository contains the offic

Vadim Tschernezki 14 Dec 05, 2022
Pytorch implementation of Hinton's Dynamic Routing Between Capsules

pytorch-capsule A Pytorch implementation of Hinton's "Dynamic Routing Between Capsules". https://arxiv.org/pdf/1710.09829.pdf Thanks to @naturomics fo

Tim Omernick 625 Oct 27, 2022