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
GLANet - The code for Global and Local Alignment Networks for Unpaired Image-to-Image Translation arxiv

GLANet The code for Global and Local Alignment Networks for Unpaired Image-to-Image Translation arxiv Framework: visualization results: Getting Starte

stanley 29 Dec 14, 2022
Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation (NeurIPS 2021) Code for our NeurIPS 2021 paper 'Exploiting the Intri

Shiqi Yang 53 Dec 25, 2022
Recreate CenternetV2 based on MMDET.

Introduction This project is trying to Recreate CenternetV2 based on MMDET, which is proposed in paper Probabilistic two-stage detection. This project

25 Dec 09, 2022
Official code for paper "ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection"

Official code for paper "ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection". LRPDenseNet.py

Pedro Ricardo Ariel Salvador Bassi 2 Sep 21, 2022
Training Structured Neural Networks Through Manifold Identification and Variance Reduction

Training Structured Neural Networks Through Manifold Identification and Variance Reduction This repository is a pytorch implementation of the Regulari

0 Dec 23, 2021
A minimalist tool to display a network graph.

A tool to get a minimalist view of any architecture This tool has only be tested with the models included in this repo. Therefore, I can't guarantee t

Thibault Castells 1 Feb 11, 2022
“英特尔创新大师杯”深度学习挑战赛 赛道3:CCKS2021中文NLP地址相关性任务

基于 bert4keras 的一个baseline 不作任何 数据trick 单模 线上 最高可到 0.7891 # 基础 版 train.py 0.7769 # transformer 各层 cls concat 明神的trick https://xv44586.git

孙永松 7 Dec 28, 2021
This repository is for DSA and CP scripts for reference.

dsa-script-collections This Repo is the collection of DSA and CP scripts for reference. Contents Python Bubble Sort Insertion Sort Merge Sort Quick So

Aditya Kumar Pandey 9 Nov 22, 2022
[CVPR 2022 Oral] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

EPro-PnP EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation In CVPR 2022 (Oral). [paper] Hanshen

同济大学智能汽车研究所综合感知研究组 ( Comprehensive Perception Research Group under Institute of Intelligent Vehicles, School of Automotive Studies, Tongji University) 842 Jan 04, 2023
[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning [MedIA or Arxiv] and [Demo] This repository pr

Healthcare Intelligence Laboratory 92 Dec 08, 2022
Its a Plant Leaf Disease Detection System based on Machine Learning.

My_Project_Code Its a Plant Leaf Disease Detection System based on Machine Learning. I have used Tomato Leaves Dataset from kaggle. This system detect

Sanskriti Sidola 3 Jun 15, 2022
This is the official implementation of VaxNeRF (Voxel-Accelearated NeRF).

VaxNeRF Paper | Google Colab This is the official implementation of VaxNeRF (Voxel-Accelearated NeRF). This codebase is implemented using JAX, buildin

naruya 132 Nov 21, 2022
Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks

Continuous Sparsification Implementation of Continuous Sparsification (CS), a method based on l_0 regularization to find sparse neural networks, propo

Pedro Savarese 23 Dec 07, 2022
Council-GAN - Implementation for our paper Breaking the Cycle - Colleagues are all you need (CVPR 2020)

Council-GAN Implementation of our paper Breaking the Cycle - Colleagues are all you need (CVPR 2020) Paper Ori Nizan , Ayellet Tal, Breaking the Cycle

ori nizan 260 Nov 16, 2022
The Malware Open-source Threat Intelligence Family dataset contains 3,095 disarmed PE malware samples from 454 families

MOTIF Dataset The Malware Open-source Threat Intelligence Family (MOTIF) dataset contains 3,095 disarmed PE malware samples from 454 families, labeled

Booz Allen Hamilton 112 Dec 13, 2022
PoseCamera is python based SDK for human pose estimation through RGB webcam.

PoseCamera PoseCamera is python based SDK for human pose estimation through RGB webcam. Install install posecamera package through pip pip install pos

WonderTree 7 Jul 20, 2021
PyDeepFakeDet is an integrated and scalable tool for Deepfake detection.

PyDeepFakeDet An integrated and scalable library for Deepfake detection research. Introduction PyDeepFakeDet is an integrated and scalable Deepfake de

Junke, Wang 49 Dec 11, 2022
WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose

WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose Yijun Zhou and James Gregson - BMVC2020 Abstract: We present an end-to-end head-pos

368 Dec 26, 2022
Vignette is a face tracking software for characters using osu!framework.

Vignette is a face tracking software for characters using osu!framework. Unlike most solutions, Vignette is: Made with osu!framework, the game framewo

Vignette 412 Dec 28, 2022
A graph-to-sequence model for one-step retrosynthesis and reaction outcome prediction.

Graph2SMILES A graph-to-sequence model for one-step retrosynthesis and reaction outcome prediction. 1. Environmental setup System requirements Ubuntu:

29 Nov 18, 2022