Python and OpenCV for a real-time object detection

@mohammadatif07

As enthusiastic and passionate as I am about Blockchain, my fortes extend beyond just its domain, particularly in Python programming and software architecture. My proficiency in the language combined with my hands-on knowledge of OpenCV, Deep Learning algorithms, and advanced image processing techniques places me at an advantage when it comes to real-time object detection systems. Having previously worked on safety monitoring projects that required similar object tracking capabilities, I understand the high stakes and nuanced approaches necessary for a bustling urban environment. This extensive experience leads me to acknowledge the significance of providing you with outputs in JSON format; an added benefit we can ensure for your project. I'd love nothing more than to deliver a real-time object detection system that not only meets but hopefully exceeds your expectations. Together, we can make urban streets safer in an evolving world. Let's get started.

@ahmadkamaleddin

I develop mobile apps and build backend systems using Python. In a recent project using ERPNext, an open-source ERP, I integrated an AI model to automate the process of extracting information from bills and documents, leveraging its built-in tools for file management and maintenance tracking. Depending on your existing resources, I can either continue building on an ERP platform or set up a new project from scratch using Vue.js, which I also use for building web applications.

@ToracosLabs

We can do this project for you efficiently, quickly and economically. Please contact us if you have any questions. We hope to be elected. Greetings. Pd: We are able to start right now

@rajat23091969

Hello DataScienceMaruf , We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Job Skills. Lets connect in chat so that We discuss further. Regards

@winindicator07

Hello, there. I am very familiar to Deep learning such as Tensorflow and Keras, Yolo and Data Science such as Tableau, Power BI for data visualization and so on I have a good hands on working with Python, Django, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm My area of expertise is building Image Processing, Classification/Prediction/Clustering, NLP, Mask-RCNN, Object recognize, Object detection. I usual using many technique and library, frameworks such as tensorflow, tesseract, machine learning such as CNN, DNN, FCRN, SVN etc. I can achieve your all requirements within a short time with high quality and accuracy. Thank you.

@Saboor880

Hello Sir. With 8+ years of experience in computer vision and AI, I specialize in developing real-time object detection systems using Python and OpenCV. I have a deep understanding of safety monitoring applications and have successfully deployed detection systems for dynamic and challenging environments. I fully understand the job description: building a Python-based real-time object detection system for identifying people in urban streets to enhance safety monitoring. Thank you.

@DarkLegend10

Hello, I am an experienced Python developer ready to bring your project to life. Expert proficiency in Python programming. I have experience with YOLOv5 models for object detection. I have extensive experience with various Python libraries, frameworks, and APIs. Commitment to delivering clean, efficient, and maintainable code. Please feel free to reach out to me. I look forward to the opportunity to collaborate and achieve great results together. Best regards,

@runzej7

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Python, Software Architecture, Machine Learning (ML), OpenCV, YOLO Lets connect in chat so that We discuss further. Regards

@Ma7m0ud7

Hi, i will develop a real-time object detection system using Python and OpenCV to detect people in urban streets for safety monitoring. I've successfully worked on similar projects; you can see one in my portfolio.

@shashank165

Hi Team, I have built a POC that showcases the advanced video analytics capabilities of table tennis. It is done using computer vision techniques and deep learning models. The main objective of this system is to detect and analyze the various elements of the game and provide useful insights. It is useful in performance analysis of the player's strengths and weaknesses by calculating the trajectory and landing point analysis. I am confident enough that I can assist you in this project effectively, but before we begin I would like to ask, 1. Are there specific challenges to consider, such as low light, crowd density, or occlusion? 2. What type of cameras will be used (resolution, frame rate, angle of view)? 3. Will this system integrate with an existing platform or software? 4. Are there specific safety measures or alerts that need to be triggered based on detection? 5. What specific details should the JSON output include (e.g., bounding box coordinates, timestamps)? Please answer the following and we can jump on the detailed discussion to outline the next steps. Also the budget & timeline to the work might vary on behalf of the answers. Regards, Shashank

@navinadhami

Hey there, I can help you in building a real time object detectin with embedding for detect people in urban streets for safety monitoring purposes. I have done a lot of projects in real time object detection, image processing, computer vision frameworks like NLP, Deep Learning, OpenCV, LLM models, Computer Vision, Prompt Engineering, FastAPI, Pandas, NumPy, Scikit-Learn, YOLO etc. 1.Project- Instance Segmentation Using Detectron Model Technology Used- Python, Detectron, PyTroch, Computer Vision, Data Preprocessing, Model Training and Evaluation Description: Implemented Instance Segmentation using Detection model,specifically training it on a custom data. This involved preprocessing data, trainingthe model and evaluation its performance metrics. Fine-tuned hyper parameters such as learning rate and batch size through iterative experimentation, resulting in a 20% improvement in Mean Average Precision (MAP) compared to baseline models. 2. Project : Resume parser and Candidate Matching according to a Job Technology Used: Python, openCV, NumPy & Pandas, LLM(Chatgpt-4 omini),FastApi Description: I developed a Applicant Tracking System (ATS) that automates resumeparsing and candidate matching using Python and a language model (LLM). I would like to discuss further about this requirement, please ping me at your convenience time so that we can go for further discussion. Regards,