1 292
1
Budget: 1000 EUR Deadline: 7 days
Hello. I have experience with Python. Ready to cooperate. Contact me
0
0
Budget: 200 EUR Deadline: 1 day
Hello!
The task is quite feasible — I have previously completed similar projects.
Ready to help and complete everything quickly and efficiently.
I have extensive experience working with Python, including tasks related to element recognition from images.
I look forward to cooperating!
0
0
Budget: 200 EUR Deadline: 123 days
Good afternoon
My team will definitely handle such a task, but
There are many questions:
- examples of images
- a very important aspect - at what angle the photo is taken.
- do you plan this service for yourself or do you want to sell it as a solution? (this will really strongly influence the pricing)
- how many posts, washes?
- what are the requirements for the backend?
- what functions are there for the user, administrator - in general. Is there any role hierarchy?
- what happens if the number cannot be read at entry, but is visible at exit (car wash, dirt, steam in winter, and all that)
I would appreciate answers to these questions
I also suggest holding a technical meeting with my lead - maybe (more likely - probably) there will be a bunch of other questions that we currently do not see
Please write to me privately
63
2
Budget: 220 EUR Deadline: 10 days
Hello
Ready to complete the project
You can check the review from another object detection project - smoke recognition from cameras
1
0
Budget: 200 EUR Deadline: 4 days
Hello. A quite feasible task, I have done similar before. I can help with this task. I will do everything quickly and efficiently. Extensive experience working with Python and also experience with element recognition from images
162
1
Budget: 200 EUR Deadline: 3 days
Good afternoon. I can take on your project for implementation. I have been working with machine vision and object recognition for a long time. There are examples in my portfolio. I will be glad to cooperate, feel free to contact me.
52
1
Budget: 200 EUR Deadline: 1 day
Good afternoon
I can do your work in Python
Write to me, I will be happy to complete your task
12
0
Budget: 599 EUR Deadline: 14 days
Good time of day
Such a task is only within my power, 5 years of experience in photo analysis with computer tools, I understand all the nuances
Write to me
0
0
Budget: 190 EUR Deadline: 5 days
Having thoroughly reviewed your project — the task is clear and interesting. Ready to start working immediately. I have experience in implementing similar movement and sound systems as well as car license plates, using Python, OpenCV, and neural networks for accurate extraction and recognition of license plates in photos.
6
2
Budget: 198 EUR Deadline: 5 days
Hello! Very interesting and practical project — I have experience with license plate recognition and working with RTSP cameras.
I am ready to implement a fully automated script that will:
– process new photos from a folder,
– recognize license plates (EasyOCR / OpenALPR),
– record the time of first and last appearance,
– save everything in CSV / Google Sheets / Airtable.
Please clarify:
– Which data storage format is most convenient for you?
– Do you need to run the script as a service for continuous operation?
4
0
Budget: 200 EUR Deadline: 7 days
Hello!
I will do it qualitatively. I will suggest implementation options. I will show examples.
The price depends on the desired accuracy and other preferences during the discussion.
11
0
Budget: 220 EUR Deadline: 7 days
Good afternoon, Vadim!
I am ready to implement an automated license plate recognition system for you using an RTSP camera, taking into account all requirements: recording the time of first and last appearance, working with images from the specified folder, logging, data storage, and convenient export.
What will be implemented:
✅ Image processing
Monitoring the new folder (/home/roo/cameras/program/camera1_photos)
Saving results in CSV
Ability to integrate with Airtable or Google Sheets (optional)
✅ License plate recognition
Using EasyOCR or OpenALPR — both technologies have proven themselves well on car license plates, including in street conditions.
If needed — I will wrap everything in a Docker container for cleanliness and deployability.
✅ Record update logic
One number = one row
Updates last_seen if the car has already been seen
Logging errors/misses (e.g., unreadable image)
✅ Logging and debugging
Maintaining logs of errors, missed images, retries, and overall activity.
I would be happy to discuss details and get started!
0
0
Budget: 200 EUR Deadline: 7 days
Good day, I am ready to offer a solution. I have experience working with OpenCV, dlib, YOLO models. Write to discuss the details and implementation options
53
0
Budget: 500 EUR Deadline: 7 days
There is extensive experience in developing various computer vision programs.
For this task, it would be better to use ALPR (directly a specialized library).
I will be able to specify the exact deadline and cost after discussing all the details.
20
0
Budget: 250 EUR Deadline: 10 days
Good afternoon. I will select a ready-made solution and deploy it on the server, the record can be made in Google Sheets.
It is important to understand which country's car numbers will be used?
Write to discuss the details and implementation options, what will suit best.
Revaz G.
Winning proposal
38
0
Budget: 200 EUR Deadline: 5 days
Hello, Vadim.
I have carefully studied your task. This is a classic and very interesting project in the field of Computer Vision. To achieve high accuracy and reliability, a simple script is not enough; a well-designed system is required.
I propose to build for you something more than just a set of individual scripts. My solution will be a single, stable application based on professional tools.
Proposed architecture and technologies:
Recognition core (The Recognition Engine): Instead of basic OCR tools like pytesseract, which often produce errors under different lighting and angles, I suggest using a more powerful combination: OpenCV for pre-processing images (contrast enhancement, normalization) and a specialized neural network model for license plate recognition (ALPR). This will ensure recognition accuracy of over 95%.
Monitoring and processing system: I will write a Python service that will monitor the specified directory in real time for new files, immediately send them for recognition, and process the results.
Data storage: As you suggested, an ideal solution would be to record data in Google Sheets or Airtable via their API. This is much more reliable and convenient for further analysis than a CSV file. I will implement logic to check for the presence of a license plate in the table and update only the last_seen field upon reappearance.
Deployment: The entire application (monitoring script, recognition model, and all dependencies) will be packaged into a Docker container. This will allow you to run the entire system on your VPS with a simple command and ensure stable operation.
As a certified Python developer (PCAP™) with experience in AI/ML, I am confident that I can create a reliable and accurate solution for you.
Cost and timeline:
For the development and deployment of this comprehensive system, I propose a price of €200, with a completion time of 5 days.
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