Make a surveillance camera from your raspberry pi!

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

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

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

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.

 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

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

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!

🍅🍅🍅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

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

Releases(v2.2.2)
Owner
Vladyslav
Machine learning and computer vision developer.
Vladyslav
Official implementation for (Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation, CVPR-2021)

FRSKD Official implementation for Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation (CVPR-2021) Requirements Pytho

75 Dec 28, 2022
Converts given image (png, jpg, etc) to amogus gif.

Image to Amogus Converter Converts given image (.png, .jpg, etc) to an amogus gif! Usage Place image in the /target/ folder (or anywhere realistically

Hank Magan 1 Nov 24, 2021
Public Code for NIPS submission SimiGrad: Fine-Grained Adaptive Batching for Large ScaleTraining using Gradient Similarity Measurement

Public code for NIPS submission "SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement" This repo co

Heyang Qin 0 Oct 13, 2021
Histocartography is a framework bringing together AI and Digital Pathology

Documentation | Paper Welcome to the histocartography repository! histocartography is a python-based library designed to facilitate the development of

155 Nov 23, 2022
Linear algebra python - Number of operations and problems in Linear Algebra and Numerical Linear Algebra

Linear algebra in python Number of operations and problems in Linear Algebra and

Alireza 5 Oct 09, 2022
The source code of the ICCV2021 paper "PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering"

The source code of the ICCV2021 paper "PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering"

Ren Yurui 261 Jan 09, 2023
A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.

DrQA A pytorch implementation of the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions (DrQA). Reading comprehension is a task to produ

Runqi Yang 394 Nov 08, 2022
A repository for the updated version of CoinRun used to collect MUGEN, a multimodal video-audio-text dataset.

A repository for the updated version of CoinRun used to collect MUGEN, a multimodal video-audio-text dataset. This repo contains scripts to train RL agents to navigate the closed world and collect vi

MUGEN 11 Oct 22, 2022
An all-in-one application to visualize multiple different local path planning algorithms

Table of Contents Table of Contents Local Planner Visualization Project (LPVP) Features Installation/Usage Local Planners Probabilistic Roadmap (PRM)

Abdur Javaid 47 Dec 30, 2022
PyTorch implementations of algorithms for density estimation

pytorch-flows A PyTorch implementations of Masked Autoregressive Flow and some other invertible transformations from Glow: Generative Flow with Invert

Ilya Kostrikov 546 Dec 05, 2022
Focal Loss for Dense Rotation Object Detection

Convert ResNets weights from GluonCV to Tensorflow Abstract GluonCV released some new resnet pre-training weights and designed some new resnets (such

17 Nov 24, 2021
PyTorch module to use OpenFace's nn4.small2.v1.t7 model

OpenFace for Pytorch Disclaimer: This codes require the input face-images that are aligned and cropped in the same way of the original OpenFace. * I m

Pete Tae-hoon Kim 176 Dec 12, 2022
PuppetGAN - Cross-Domain Feature Disentanglement and Manipulation just got way better! 🚀

Better Cross-Domain Feature Disentanglement and Manipulation with Improved PuppetGAN Quite cool... Right? Introduction This repo contains a TensorFlow

Giorgos Karantonis 5 Aug 25, 2022
Pydantic models for pywttr and aiopywttr.

Pydantic models for pywttr and aiopywttr.

Almaz 2 Dec 08, 2022
Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

Decentralized Reinforcement Learning This is the code complementing the paper Decentralized Reinforcment Learning: Global Decision-Making via Local Ec

40 Oct 30, 2022
Cross View SLAM

Cross View SLAM This is the associated code and dataset repository for our paper I. D. Miller et al., "Any Way You Look at It: Semantic Crossview Loca

Ian D. Miller 99 Dec 09, 2022
GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices

GyroSPD Code for the paper "Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices" accepted at NeurIPS 2021. Re

Federico Lopez 12 Dec 12, 2022
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

About PyTorch 1.2.0 Now the master branch supports PyTorch 1.2.0 by default. Due to the serious version problem (especially torch.utils.data.dataloade

Sanghyun Son 2.1k Dec 27, 2022
Technical Analysis library in pandas for backtesting algotrading and quantitative analysis

bta-lib - A pandas based Technical Analysis Library bta-lib is pandas based technical analysis library and part of the backtrader family. Links Main P

DRo 393 Dec 20, 2022
Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

Prompt-Tuning Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning" Currently, we support the following huggigface models: Bart

Andrew Zeng 36 Dec 19, 2022