Vehicle Traffic Detection System

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@Osama141

Hey! I've worked on a number of projects similar to this one. I have a lot of experience and knowledge in this field. My knowledge of business also gives me an advantage in this situation. Looking forward for the opportunity. Thanks

@amirrmusavifr

Hi, I’m an AI expert with professional experience in computer vision, with a proven track record of working on complex image processing and AI/ML model development. With skill sets: • Algorithm Development: Strong understanding of computer vision algorithms and techniques, including convolutional neural networks (CNNs), object detection, image segmentation and feature extraction. • Model Training & fine-tuning: Develop and train machine learning models tailored for image analysis and visual data interpretation. I have worked on some well-known models like YOLO, RCNN, U-Net, Deeplab, ViT etc. • AI Integration: Implement and integrate AI models into existing software and hardware systems, ensuring high performance and scalability. • Data Analysis: Analyze and process large datasets of images and video feeds to identify patterns, trends, and insights. • Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. • Performance Optimization: Optimize algorithms and models for real-time processing and ensure they can handle large-scale data efficiently. • Programming Skills: Proficient in programming languages such as Python. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. • Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git.

@quan9824

## EXPERT ##(Real-time Object Detection Tracking and Counting) DEAR CLIENT, I’ve completed the exact same projects before successfully. I can upload my previous works. Before, using python and YOLOv8, I completed @@Car Detection Tracking and Bidirectional Counting@@ project. Awarding me will be the fastest way to complete your task with the best rates possible. THANK YOU.

@sayarsinghseo

As a data-driven professional, I understand the importance of accurate and reliable traffic data for analysis. I possess valuable skills and experiences pertinent to developing your vehicle traffic detection system. My expertise in Data Analysis and Data Processing, combined with my knowledge in Machine Learning (ML) can help create an intricate algorithm that accurately detects and counts car, truck, and motorcycle movements. Leveraging my professional versatility, I have also honed capacities in customer support which allows me to communicate effectively and efficiently, ensuring your project's specifications are met promptly. Building on that, my proficiency in Excel Formulation will aid in organizing and interpreting the large volumes of data that your system is expected to handle. Above all, my dedication to reaching the right target market and providing higher returns outlines a consistent commitment to delivering a product that is not only functional but relevant. With me on board, you can expect a meticulously designed system that maximizes accurate vehicle detection to provide actionable insights for your traffic analysis needs.

@FairouzMousa

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@nh778

I can develop a accurate vehicle traffic detection system for you using modern computer vision techniques. The solution will utilize a object detection model (like YOLO or a CNN) to identify and count cars, trucks, and motorcycles from your video source, outputting clean, reliable count data for your analysis. To provide a precise solution, I need to clarify the deployment environment: Input Source: What is the source of the video? (e.g., live CCTV RTSP stream, pre-recorded video files, traffic camera feeds?) Processing Location: Should the system run in the cloud (e.g., Azure Custom Vision) for scalability, or on-premise/on an edge device for low latency? Accuracy & Conditions: What are the minimum accuracy requirements, and what are the typical lighting and weather conditions (day/night, rain)? My approach will involve model selection/pre-training on your specific data, followed by deployment to your chosen environment. I will deliver the working system and the collected count data in a structured format (e.g., CSV). I am confident in delivering this solution and propose a fixed project price upon clarifying the above details.

@khaleelurrahmanm

I already have a working vehicle detection system that counts cars, trucks, and motorcycles — ready to demo. If approved, I can show the live demo today. What I deliver (production-ready): Per-frame & per-minute counts for cars / trucks / motorcycles (CSV / JSON export) Confidence scores, simple dashboard, and sample visual overlays (bounding boxes + labels) Accuracy report (precision/recall) on your sample footage or dataset Deployment options: Docker service, edge (Jetson) or cloud (server + API) + docs Source code, model files, and integration notes

@prerit1612

I can develop a smart vehicle traffic detection system that accurately counts cars, trucks, and motorcycles using modern computer vision. I will build the solution using a fast and reliable detection model like YOLO, combined with tracking so no vehicle is counted twice. You can share sample videos, and I will fine-tune the system to match your real traffic conditions. The final output can be shared as Excel/CSV or a simple dashboard, along with a short accuracy report. I have experience in real-world detection projects and will deliver a clean, easy-to-use, and fully documented solution tailored to your needs.

@kodzfreelance

Hello There, This is Rohith, a Junior Research Fellow from Computer Vision Domain. I earlier had the experience of detecting humans from the traffic using yolo and Mediapipe models. So detecting vehicles from the video feed in real-time won't be a big task. So, yes, I would be a great resource for this work. We can connect and discuss further regarding the details of work, deliverables, and others. Thank You in Advance.

@parthd84

Dear Client, I am highly qualified to develop your accurate vehicle counting system (cars, trucks, motorcycles). My expertise is in Deep Learning/OpenCV. Direct Relevance: I built a Smart Toll Booth System that successfully classified LMV/Heavy Vehicles and performed real-time tracking, which directly addresses your core requirement. My work on classification (including stolen vehicle detection) and implementing research papers (like Attention U-Net) guarantees a highly optimized, reliable solution using models like YOLO/SSD. Questions: Is the input a live stream or pre-recorded? What is the preferred data output format (CSV, JSON)? I look forward to discussing this! Thank you.

@Kruti229

Hey I have experience in Computer vision model building. I have done project like objects detection , image classification, video and image captioning and image/ video quality enhancement.