You will get a robust Saudi ALPR system for Linux with a 3-second auto-recovery engine
Project details
Looking for a highly reliable Automated License Plate Recognition (ALPR) system optimized for Saudi plates (new & old)? Standard scripts often crash under 24/7 video streams. I provide an Industrial-Grade Edge Computing Solution engineered for absolute stability, zero latency, and strict privacy.
What Sets This System Apart:
100% Offline Edge Processing: Runs locally on Linux/Ubuntu hardware. No cloud APIs, no recurring subscriptions, ensuring complete data confidentiality.
3-Second Auto-Recovery: Hardened with strict systemd integration. If an unexpected crash, power drop, or thread error occurs, the daemon resurrects the entire interface in under 3 seconds automatically.
Compiled Security & Low Overhead: The core engine is compiled into pure C-extensions (Cython .so binary), protecting the code from tampering while dropping memory usage to under 70MB.
Integrated Dashboard: Includes a clean UI to inspect live RTSP camera streams, log entries (English & Arabic texts), and manage a self-cleaning SQLite DB.
Perfect for security gates, smart parking, and tolling. Get enterprise reliability without the enterprise overhead.
What Sets This System Apart:
100% Offline Edge Processing: Runs locally on Linux/Ubuntu hardware. No cloud APIs, no recurring subscriptions, ensuring complete data confidentiality.
3-Second Auto-Recovery: Hardened with strict systemd integration. If an unexpected crash, power drop, or thread error occurs, the daemon resurrects the entire interface in under 3 seconds automatically.
Compiled Security & Low Overhead: The core engine is compiled into pure C-extensions (Cython .so binary), protecting the code from tampering while dropping memory usage to under 70MB.
Integrated Dashboard: Includes a clean UI to inspect live RTSP camera streams, log entries (English & Arabic texts), and manage a self-cleaning SQLite DB.
Perfect for security gates, smart parking, and tolling. Get enterprise reliability without the enterprise overhead.
Machine Learning Tools
NumPy, OpenCV, pandas, Python, SQL, Tesseract OCRWhat's included
| Service Tiers |
Starter
$300
|
Standard
$500
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 5 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Windows 11 Custom Porting
(+ 3 Days)
+$350Frequently asked questions
About Abdelhamid
AI Engineer & Smart Agriculture Specialist
El Oued, Algeria - 4:41 pm local time
My unique background combines advanced machine learning with hands-on domain expertise in Smart Agriculture. I focus on building reliable predictive models and using "causal AI" to extract true insights, ensuring you don't just get predictions, but understand the 'why' behind them.
What I do best:
Machine Learning & Predictive Modeling: Building robust, highly accurate models using Python, XGBoost, and Scikit-Learn.
Data Analysis & Explainability: Unlocking "black-box" models using advanced feature engineering, SHAP, and Partial Dependence Plots (PDP) to drive smart decision-making.
End-to-End Solutions: From data extraction (ETL) and deep exploratory data analysis (EDA) to deploying interactive web apps using Streamlit.
Domain-Specific AI: Creating optimization systems, such as automated data-driven consulting for agricultural yield, irrigation, and resource management.
My Background & Credentials:
Backed by rigorous training in Data Science and Prompt Engineering, I hold a strong portfolio of specialized Kaggle certifications (covering Machine Learning, Feature Engineering, Model Explainability, and Data Visualization). I am equipped to handle real-world datasets from start to finish.
Let's connect to build intelligent, interpretable solutions that drive real results for your project!
Steps for completing your project
After purchasing the project, send requirements so Abdelhamid can start the project.
Delivery time starts when Abdelhamid receives requirements from you.
Abdelhamid works on your project following the steps below.
Revisions may occur after the delivery date.
Environment Audit & Package Delivery
I will audit your Linux environment, install the required dependencies offline, and deploy the compiled Cython ALPR binary (.so) securely.
IP Camera Integration & systemd Setup
I will connect your RTSP camera stream, configure the local SQLite database, and set up the strict systemd auto-recovery daemon.