Read number plates with https://platerecognizer.com/

Overview

HASS-plate-recognizer

Read vehicle license plates with https://platerecognizer.com/ which offers free processing of 2500 images per month. You will need to create an account and get your API token.

This integration adds an image processing entity where the state of the entity is the number of license plates found in a processed image. Information about the vehicle which has the license plate is provided in the entity attributes, and includes the license plate number, region/country, vehicle type, and confidence (in a scale 0 to 1) in this prediction. For each vehicle an platerecognizer.vehicle_detected event is fired, containing the same information just listed. Additionally, statistics about your account usage are given in the Statistics attribute, including the number of calls_remaining out of your 2500 monthly available.

Note this integration does NOT automatically process images, it is necessary to call the image_processing.scan service to trigger processing.

Home Assistant setup

Place the custom_components folder in your configuration directory (or add its contents to an existing custom_components folder). Then configure as below:

image_processing:
  - platform: platerecognizer
    api_token: your_token
    regions:
      - gb
      - ie
    save_file_folder: /config/images/platerecognizer/
    save_timestamped_file: True
    always_save_latest_file: True
    source:
      - entity_id: camera.yours

Configuration variables:

  • api_key: Your api key.
  • regions: (Optional) A list of regions/countries to filter by. Note this may return fewer, but more specific predictions.
  • save_file_folder: (Optional) The folder to save processed images to. Note that folder path should be added to whitelist_external_dirs
  • save_timestamped_file: (Optional, default False, requires save_file_folder to be configured) Save the processed image with the time of detection in the filename.
  • always_save_latest_file: (Optional, default False, requires save_file_folder to be configured) Always save the last processed image, no matter there were detections or not.
  • source: Must be a camera.

Video of usage

Checkout this excellent video of usage from Everything Smart Home

Comments
  • Empty pictures when using nest camera

    Empty pictures when using nest camera

    Hi

    I’m using outdoor nest cameras that are 24/7 powered. I have setup the integration correctly but when start the image proccessing the png saved doesn’t have a picture. The file is there in the confit folder but there is no picture, it’s just white

    I don’t have a car to test with this evening, does a car need to be in the frame of the camera for the image processing event to generate a picture?

    opened by henrikrox 5
  • This worked once but now I'm getting an error in the HA log.

    This worked once but now I'm getting an error in the HA log.

    Any idea's what is causing this?

    Logger: homeassistant.helpers.entity Source: custom_components/platerecognizer/image_processing.py:124 First occurred: 16:24:45 (10 occurrences) Last logged: 17:07:22

    Update for image_processing.platerecognizer_driveway_top fails Traceback (most recent call last): File "/usr/src/homeassistant/homeassistant/helpers/entity.py", line 278, in async_update_ha_state await self.async_device_update() File "/usr/src/homeassistant/homeassistant/helpers/entity.py", line 474, in async_device_update raise exc File "/usr/src/homeassistant/homeassistant/components/image_processing/init.py", line 132, in async_update await self.async_process_image(image.content) File "/usr/src/homeassistant/homeassistant/components/image_processing/init.py", line 112, in async_process_image return await self.hass.async_add_executor_job(self.process_image, image) File "/usr/local/lib/python3.8/concurrent/futures/thread.py", line 57, in run result = self.fn(*self.args, **self.kwargs) File "/config/custom_components/platerecognizer/image_processing.py", line 124, in process_image self._image = Image.open(io.BytesIO(bytearray(image))) File "/usr/local/lib/python3.8/site-packages/PIL/Image.py", line 2958, in open raise UnidentifiedImageError( PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7fa2e30c20>

    opened by healeydave 5
  • get_orientations error: 'orientation'

    get_orientations error: 'orientation'

    Getting following error get_orientations error: 'orientation'. Getting this everytime a platrecognizer is triggered

    Source: custom_components/platerecognizer/image_processing.py:94

    Running release 1.1.0 of Plate and HA 2021.5.2

    opened by greberg 4
  • Watched Plates Sensor Issue

    Watched Plates Sensor Issue

    I can get plate recognizer to work with my home assistant however I am having issue when adding watched plates sensor

    Below is my sensor code

    sensor:

    • platform: template sensors: plate_recognizer: friendly_name: "abc12d" value_template: "{{ state_attr('image_processing.platerecognizer_1', 'watched_plates').abc12d }}"

    Home Assistant having this warning in the log image

    When I scan plate-recognizer, it can detect my license plate but the sensor does not change state. My home assistant version is core-2021.9.0b6.

    opened by htiennhan 3
  • All attributes missing from image_processing entity

    All attributes missing from image_processing entity

    Since updating to 2022.4.b0 All attributes missing from image_processing entity. State works OK and is showing the number of plates.

    Set logging to debug and only shows this:

    2022-03-31 17:38:12 DEBUG (SyncWorker_17) [custom_components.platerecognizer.image_processing] Config: {"detection_rule": "strict", "region": "False"}

    opened by holdestmade 2
  • Coordinates of detected plate box

    Coordinates of detected plate box

    Looking on Platerecognizer's website, it says it returns coordinates of the detected plate box, is this possible to add ?

    The centre of the box would suffice, I would like to check where each plate is detected (drive or road)

    results/box | Bounding box for the license plate. Coordinates in pixel of the top left and bottom right corners of the plate. -- | --

    opened by holdestmade 2
  • Thank you /

    Thank you /

    Hey Rob

    Firstly, thank you so much for this. We live on a large rural property in Australia and are using this to work out who is at our gate and automatically open the gate if we like them :)

    I wondered if you had considered allowing the intergration to connect to a on-premise instance of plate recogniser (running in a docker container).

    https://app.platerecognizer.com/sdk/

    I wish I knew how to code, in which case I would raise a PR and not an issue.

    Please keep up the great work.

    P.S. I have been working with Plate Recogniser to get a more affordable plan for plan for us all. The new plan pricing will work for Cloud and SDK licenses.

    opened by dalewright 2
  • [Feature Request] - Url or file as source instead of camera

    [Feature Request] - Url or file as source instead of camera

    It would be great to be able to use an url or a file for source instead of camera.

    Use case I'm using Frigate as NVR- software and when using the official HA-component for Frigate it creates all cameras in HA with a max height of 277px. I've found that that is a little bit to small for my setup when running plates. It would be great to be able to set an url directly to my Frigate instance where I can access a full resolution image of the camera feed.

    opened by thrawnarn 2
  • SUGGESTION: Change /config/images/platerecognizer/ to /config/www/images/platerecognizer/ in readme

    SUGGESTION: Change /config/images/platerecognizer/ to /config/www/images/platerecognizer/ in readme

    Love the integration, but in my opinion this would be a better default location, because then you can create local file cameras, and otherwise you can't do things like send the latest image in a notification via automation.

    opened by shanem2004 2
  • Add watched_plate arg

    Add watched_plate arg

    Parallels https://github.com/robmarkcole/HASS-Sighthound/issues/22

    Add a watched_plate arg that is a list of plates to watch for, allowing fuzzy matching. I.e. a matched plate will be detected when there is a good match of characters using regex. For each plate an attribute is exposed which is a binary sensor indicating if the plate was in the last scanned imaged or not. Add a watched_plate event as well?

    opened by robmarkcole 2
  • Issue plate start with number

    Issue plate start with number

    My country plate start with number like

    29a12345

    if I put this in template

    plate_recognizer: friendly_name: "29a12345" value_template: "{{ state_attr('image_processing.platerecognizer_frontgate', 'watched_plates').29a12345}}"

    will error

    Invalid config for [sensor.template]: invalid template (TemplateSyntaxError: expected name or number) for dictionary value @ data['sensors']['plate_recognizer']['value_template']. Got "{{ state_attr('image_processing.platerecognizer_frontgate', 'watched_plates').'29a12345' }}". (See ?, line ?).

    opened by chimcanhcut1112 1
  • Can i use multiple camera entity sources?

    Can i use multiple camera entity sources?

    Also, can i put image_processing in a file rather then configuration.yaml ?

    Finally, is the sensor configuration new style or old style?

    Thanks for your help!

    opened by atv2016 1
  • Update for image_processing.platerecognizer_doorbell_main_proxy fails

    Update for image_processing.platerecognizer_doorbell_main_proxy fails

    Any idea what would cause this?

    This error originated from a custom integration.

    Logger: homeassistant.helpers.entity
    Source: custom_components/platerecognizer/image_processing.py:224
    Integration: platerecognizer (documentation)
    First occurred: 16 November 2022 at 21:27:27 (884 occurrences)
    Last logged: 16:02:06
    
    Update for image_processing.platerecognizer_doorbell_main_proxy fails
    Traceback (most recent call last):
      File "/usr/local/lib/python3.10/site-packages/requests/models.py", line 971, in json
        return complexjson.loads(self.text, **kwargs)
      File "/usr/local/lib/python3.10/site-packages/simplejson/__init__.py", line 525, in loads
        return _default_decoder.decode(s)
      File "/usr/local/lib/python3.10/site-packages/simplejson/decoder.py", line 373, in decode
        raise JSONDecodeError("Extra data", s, end, len(s))
    simplejson.errors.JSONDecodeError: Extra data: line 1 column 4 - line 1 column 15 (char 3 - 14)
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "/config/custom_components/platerecognizer/image_processing.py", line 206, in process_image
        ).json()
      File "/usr/local/lib/python3.10/site-packages/requests/models.py", line 975, in json
        raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
    requests.exceptions.JSONDecodeError: Extra data: line 1 column 4 (char 3)
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "/usr/src/homeassistant/homeassistant/helpers/entity.py", line 527, in async_update_ha_state
        await self.async_device_update()
      File "/usr/src/homeassistant/homeassistant/helpers/entity.py", line 722, in async_device_update
        raise exc
      File "/usr/src/homeassistant/homeassistant/components/image_processing/__init__.py", line 163, in async_update
        await self.async_process_image(image.content)
      File "/usr/src/homeassistant/homeassistant/components/image_processing/__init__.py", line 144, in async_process_image
        return await self.hass.async_add_executor_job(self.process_image, image)
      File "/usr/local/lib/python3.10/concurrent/futures/thread.py", line 58, in run
        result = self.fn(*self.args, **self.kwargs)
      File "/config/custom_components/platerecognizer/image_processing.py", line 224, in process_image
        _LOGGER.error(f"platerecognizer api response: {response}")
    UnboundLocalError: local variable 'response' referenced before assignment
    

    This is my config

      - platform: platerecognizer
        api_token: xxxxxxx
        regions:
          - gb
        save_file_folder: /config/images/platerecognizer/
        save_timestamped_file: True
        always_save_latest_file: True
        watched_plates:
          - xx67xxx
        mmc: True
        detection_rule: strict
        region: strict
        server: https://myhostname.com/v1/plate-reader/
        source:
          - entity_id: camera.doorbell_main_proxy
    
    opened by totalitarian 3
  • Using region no (Norway) results in error -

    Using region no (Norway) results in error - "no" is registered as boolean "false"

    Hi, Thanks for the effort.

    I am trying to use this integration with the region "no", and i get the following error message in the system log: platerecognizer api response: {'regions': ['Region "False" does not exist. List of regions: http://docs.platerecognizer.com/#countries']}

    My yaml contains the following:

    regions: - no

    Workaround is to use: regions: - dk

    opened by laabak84 1
  • build sensor last found plate (attributes not working?)

    build sensor last found plate (attributes not working?)

    I want to make an sensor where I can se the last plate found NOT known.

    here is what I have been trying.

    in developer tools:

    {{ state_attr('image_processing.platerecognizer_garage_2' , 'vehicles') }}

    output

    [{'plate': 'nkeXXXX', 'confidence': 0.683, 'region_code': 'pl', 'vehicle_type': 'Big Truck', 'box_y_centre': 116.0, 'box_x_centre': 1563.0}]

    so I want to show attribute 'plate'

    {{ state_attr('image_processing.platerecognizer_garage_2' , 'vehicles').plate }}

    output

    none

    expected output

    nkeXXXX

    is there something I am missing ?

    opened by koburg 0
  • Image filenames are very long and dont display well

    Image filenames are very long and dont display well

    Can the filenames generated be customized? I just need the format to be shorter to display neatly in my gallery browser card but the generated filename is something like platerecognizer_driveway_cam_jpg_2022-07-22_10-04-48 which is really long and messes us how things are displayed with text for thumbnails overlaying on top of each other etc.

    opened by craigueh 3
Releases(1.4.1)
Owner
Robin
Physics PhD, python dev, data science and engineering, interests include deep learning & IOT
Robin
Vision transformers (ViTs) have found only limited practical use in processing images

CXV Convolutional Xformers for Vision Vision transformers (ViTs) have found only limited practical use in processing images, in spite of their state-o

Cloudwalker 23 Sep 10, 2022
My freqtrade strategies

My freqtrade-strategies Hi there! This is repo for my freqtrade-strategies. My name is Ilya Zelenchuk, I'm a lecturer at the SPbU university (https://

171 Dec 05, 2022
Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Exploring Cross-Image Pixel Contrast for Semantic Segmentation Exploring Cross-Image Pixel Contrast for Semantic Segmentation, Wenguan Wang, Tianfei Z

Tianfei Zhou 510 Jan 02, 2023
Vpw analyzer - A visual J1850 VPW analyzer written in Python

VPW Analyzer A visual J1850 VPW analyzer written in Python Requires Tkinter, Pan

7 May 01, 2022
Scikit-event-correlation - Event Correlation and Forecasting over High Dimensional Streaming Sensor Data algorithms

scikit-event-correlation Event Correlation and Changing Detection Algorithm Theo

Intellia ICT 5 Oct 30, 2022
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

The GT4SD (Generative Toolkit for Scientific Discovery) is an open-source platform to accelerate hypothesis generation in the scientific discovery process. It provides a library for making state-of-t

Generative Toolkit 4 Scientific Discovery 142 Dec 24, 2022
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models Pouya Samangouei*, Maya Kabkab*, Rama Chellappa [*: authors co

Maya Kabkab 212 Dec 07, 2022
Pretraining on Dynamic Graph Neural Networks

Pretraining on Dynamic Graph Neural Networks Our article is PT-DGNN and the code is modified based on GPT-GNN Requirements python 3.6 Ubuntu 18.04.5 L

7 Dec 17, 2022
Multi-View Radar Semantic Segmentation

Multi-View Radar Semantic Segmentation Paper Multi-View Radar Semantic Segmentation, ICCV 2021. Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Flore

valeo.ai 37 Oct 25, 2022
Official Code for "Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning"

CMSF Official Code for "Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning" Requirements Python = 3.7.6 PyTorch

4 Nov 25, 2022
CVPR2021: Temporal Context Aggregation Network for Temporal Action Proposal Refinement

Temporal Context Aggregation Network - Pytorch This repo holds the pytorch-version codes of paper: "Temporal Context Aggregation Network for Temporal

Zhiwu Qing 63 Sep 27, 2022
Pytorch implementation for DFN: Distributed Feedback Network for Single-Image Deraining.

DFN:Distributed Feedback Network for Single-Image Deraining Abstract Recently, deep convolutional neural networks have achieved great success for sing

6 Nov 05, 2022
Train an imgs.ai model on your own dataset

imgs.ai is a fast, dataset-agnostic, deep visual search engine for digital art history based on neural network embeddings.

Fabian Offert 5 Dec 21, 2021
Dcf-game-infrastructure-public - Contains all the components necessary to run a DC finals (attack-defense CTF) game from OOO

dcf-game-infrastructure All the components necessary to run a game of the OOO DC

Order of the Overflow 46 Sep 13, 2022
A Python Reconnection Tool for alt:V

altv-reconnect What? It invokes a reconnect in the altV Client Dev Console. You get to determine when your local client should reconnect when developi

8 Jun 30, 2022
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation.

Training Script for Reuse-VOS This code implementation of CVPR 2021 paper : Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Vi

HYOJINPARK 22 Jan 01, 2023
Code & Data for Enhancing Photorealism Enhancement

Enhancing Photorealism Enhancement Stephan R. Richter, Hassan Abu AlHaija, Vladlen Koltun Paper | Website (with side-by-side comparisons) | Video (Pap

Intelligent Systems Lab Org 1.1k Dec 31, 2022
codes for IKM (arXiv2021, Submitted to IEEE Trans)

Image-specific Convolutional Kernel Modulation for Single Image Super-resolution This repository is for IKM introduced in the following paper Yuanfei

Yuanfei Huang 9 Dec 29, 2022
Semi-supervised Domain Adaptation via Minimax Entropy

Semi-supervised Domain Adaptation via Minimax Entropy (ICCV 2019) Install pip install -r requirements.txt The code is written for Pytorch 0.4.0, but s

Vision and Learning Group 243 Jan 09, 2023
Simple machine learning library / 簡單易用的機器學習套件

FukuML Simple machine learning library / 簡單易用的機器學習套件 Installation $ pip install FukuML Tutorial Lesson 1: Perceptron Binary Classification Learning Al

Fukuball Lin 279 Sep 15, 2022