You will get a traffic analysis application
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Project details
You will get a Real-time Traffic Violation Detection System, an innovative end-to-end solution designed to detect traffic violations accurately and efficiently in video footage.
Features:
• Vehicle Speed and Distance estimation
• Vehicle Tracking
- Tracks vehicles even when plates are not readable in subsequent frames.
• Plate Recognition:
- Detects plates using a YOLOv8 model.
- Reads plate numbers with EasyOCR.
- Links plate numbers with tracked vehicle IDs.
• Violation Detection:
- Detects predefined violations using speed and distance estimates.
- Stores details of violations, including costs and frames, in a CSV file.
• Violation Reporting:
- Generates video clips of violations for review.
- Provides detailed reports with all relevant information.
• Tools Used:
- Vehicle Speed and Distance Detection: Optical flow techniques.
- Vehicle Tracking: Deep SORT algorithm with PyTorch, supporting YOLO series models.
- Plate Recognition: YOLOv8 model and EasyOCR library.
- Violation Detection and Reporting: Custom scripts to detect violations and generate reports.
Features:
• Vehicle Speed and Distance estimation
• Vehicle Tracking
- Tracks vehicles even when plates are not readable in subsequent frames.
• Plate Recognition:
- Detects plates using a YOLOv8 model.
- Reads plate numbers with EasyOCR.
- Links plate numbers with tracked vehicle IDs.
• Violation Detection:
- Detects predefined violations using speed and distance estimates.
- Stores details of violations, including costs and frames, in a CSV file.
• Violation Reporting:
- Generates video clips of violations for review.
- Provides detailed reports with all relevant information.
• Tools Used:
- Vehicle Speed and Distance Detection: Optical flow techniques.
- Vehicle Tracking: Deep SORT algorithm with PyTorch, supporting YOLO series models.
- Plate Recognition: YOLOv8 model and EasyOCR library.
- Violation Detection and Reporting: Custom scripts to detect violations and generate reports.
Machine Learning Tools
ChatGPT, Deeplearning4j, Google AutoML, GPT-3, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQLWhat's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 10 days |
Number of Revisions | 1 | 2 | Unlimited |
Number of Model Variations | 1 | 1 | 5 |
Number of Scenarios | 1 | 2 | 5 |
Number of Graphs/Charts | 10 | 20 | 50 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
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MO
Michael O.
Jan 22, 2025
60 minute consultation
I had a great consultation with Mohamed, and I’m thoroughly impressed. He took the time to carefully explain everything, ensuring I understood each concept. It’s clear that he really knows his stuff and has a deep understanding of AI and computer vision. Highly recommend his expertise!
FA
Fahad A.
Jan 5, 2025
This contract will be for our AI solution platform and its interface for end users like doctors,
calm and focused communicator with punctual behavior,
deep technical knowledge
deep technical knowledge
AA
Abdullah A.
Jul 28, 2024
R&M AI
He was helpful and completed the necessary work, and even more.
JF
Jerry F.
Jul 26, 2024
Optimization Pt1
FA
Fernando A.
Apr 15, 2024
60 minute consultation
About Mohamed
AI Engineer | LLMs, RAG & AI Agents | Computer Vision
100%
Job Success
Asyut, Egypt - 1:46 am local time
My work includes multilingual RAG, document intelligence, AI agents, OCR + multimodal systems, and computer vision.
🏆 SELECTED RESULTS
• Improved an object detection system from 84.5% → 92.0% mAP@50
• Built and evaluated multilingual RAG pipelines using Recall@K, MRR and nDCG
• Built a multimodal OCR pipeline that outperformed Azure Document Intelligence while reducing processing cost
• Built an AI legal-compliance system producing traceable PASS / FAIL / REVIEW decisions with evidence and human review
🧠 LLMs, RAG & AI AGENTS
I can help you build:
✓ RAG systems over internal documents and knowledge bases
✓ AI agents that call APIs, tools and business systems
✓ Document extraction and document-understanding pipelines
✓ AI assistants with citations, validation and audit trails
✓ LLM/RAG evaluation and hallucination testing
✓ Embedding, retrieval and reranking optimization
✓ Multilingual AI systems
✓ OCR + LLM / multimodal pipelines
👁️ COMPUTER VISION
I also work on:
✓ Object detection and segmentation
✓ Multimodal vision models
✓ Model optimization and inference pipelines
✓ PyTorch and Triton deployment
🏢 EXPERIENCE
At Linde, I work on document intelligence and AI systems, including multilingual retrieval, embedding and reranking evaluation, OCR pipelines and multimodal document understanding.
My research background is in reliable AI. I have published peer-reviewed research in IEEE Access on adversarial robustness and study Data Science at LMU Munich as part of the relAI — Konrad Zuse School of Excellence in Reliable AI.
⚙️ HOW I WORK
I don't just connect an LLM API and call it an AI product.
I focus on:
✓ measurable evaluation
✓ reliable outputs
✓ traceability
✓ latency and cost
✓ maintainable production architecture
If you're building an AI product — or already have one that is hallucinating, unreliable, expensive, or difficult to scale — send me a message and tell me what you're trying to build.
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Learning about the problem
Researching the problem and the previous solutions.
Searching for the previous models and datasets
Most of the time, there are open-source models and datasets related to the problem we are trying to solve.