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Motion Detection for Video Source Files with AI (Car and Persons) + Delete Source and Output in different Folder

€30-250 EUR

Fechado
Publicado há aproximadamente 3 anos

€30-250 EUR

Pago na entrega
Dear Collegues, Dear Ladys and Gentleman, we have a Task. Our Customer have CCTV which uploads the VideoFiles by ftp on a Server. The Video Files are 24/7 in 4K resolution. An They have to Check each Video File (>100 Cameras Manually by Motion) So the task is: - Save Space in Server - Save Working Time on sighting the Video Files Simple procedure: Folder: /Camara1/Month/Days/[login to view URL] (When upload is finish, file is created fast but the file is not uploaded directly) AI Tool grab the Sources, cut out the scence which has no motions by cars and person, then output the File in other folder structur but similar and deletes the Source File. The motion detection has to be very accurate and only should work by persons with cars. We need to track the parking cars + walking ways. If you have any questions, feel free to ask us about more details and please only bid if you´ve read the complete description. This tool has to be integrated in our windows server + connectione to source files + output configurations Nice Regards Emilia
ID do Projeto: 29372149

Sobre o projeto

8 propostas
Projeto remoto
Ativo há 3 anos

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8 freelancers estão ofertando em média €233 EUR for esse trabalho
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Hi. Caglar. How are you? I just read your project details and I am sure to do this project. Please check my profile, you will notice I am a right person you are looking for. Please send me message and let's discuss more details. I will provide perfect solution. Thanks
€300 EUR em 7 dias
5,0 (20 avaliações)
6,1
6,1
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Hello, there. I am very interested in your Project. I'm a Python expert, with over 10+ years experience dealing with Machine Learning and Artificial Intelligent. I can help you well and I will serve you with my best if you employee me. I will be very glad if you contact with me. Thanks. please hire me directly
€140 EUR em 2 dias
5,0 (24 avaliações)
5,1
5,1
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Hi, Greetings for the day! Upon going through the specified requirements, we believe that we are a good fit for this project. We can help you out with your algorithm and train a YOLO (or even better) model, along with the best optimization techniques, either using any open-source repository or built using any architecture reference! We are a team of dedicated and dynamic Machine Learning Engineers based in Mumbai, India, who have developed and deployed complex AI solutions using Machine Learning and Computer Vision. Some of our projects include Face Mask Detection, Social Distancing Monitoring, Industrial Machinery Defect Detection, Industrial Safety Kit Detection, Root Cause Analysis and more. We have also successfully built and trained various general as well as client specific classification, image recognition as well as object detection, using prebuilt as well as customized state of the art architectures such as Resnet, MobileNet, YOLO, SSD, RetinaNet. Our AI/ML tech-stack includes Python, Tensorflow, PyTorch, Keras, OpenCV, GCP, AWS, FastAPI, Flask, Django and more. We have relevant and significant experience in Keras, TensorFlow and OpenCV. Please checkout our AI/ML portfolio - freelancer.in/u/iPingDataLabsLLP We approach our each client with the intent of a long term relationship. We look forward to working with you. Regards, iPing Data Labs
€240 EUR em 7 dias
5,0 (8 avaliações)
5,2
5,2
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Hello sir/ma, I'm interested in taking this task up for you. I have extensive experience in the domains of Natural Language Processing, R language, Python, Image Recognition & Artificial Intelligence,Recommender Systems,Machine learning,Data Minning, C++, C#, NS3 simulation, Omnet++, Sumo simulation, Deep Learning, Computer Vision, AI text analysis model,and Reinforcement Learning. While working in the domains mentioned above, I have worked used frameworks like TensorFlow, Scikit-learn, PyTorch,STP and UDP, Caffe2, OpenCV, Keras, matplotlib, seaborn, fastai, Pycharm,NILM algorithms etc) I am also very familiar with classification and clustering algorithms such as SVM,FHMM, Combinatorial Optimization, HART 85 Algorithm, Maximum Likelihood Estimation, KNN, LDA, Fuzzy classification I’m honest, creative and a unique person to carry out your tasks given to me. Leaving your project on our hand is privileged; we'll make sure that the project is done in a perfect way and do our best until you were satisfied. I would love to discuss this project with you and meet your exact requirements. I am confident I can provide you with top-notch materials that will fit your needs. I'm proud of my work on being professional, of the highest quality and always delivered on time.
€35 EUR em 2 dias
5,0 (5 avaliações)
4,0
4,0
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Hello sir, We have recently completed a similar project on Automatic Number Plate Recognition using Deep Learning-based models. I assure you that we will be able to help you with your motion detection for videos and any other AI engines requirement for the same. About us: I have an excellent team of individuals who have industry experience of more than 5 years in the fields of machine and deep learning, Web and mobile development, and DevOps after their degree from prestigious IITs. We have expertise in the following technologies: Programming languages: Python, Java, JavaScript, ReactJs, NodeJs Frameworks: TensorFlow JS, Keras, SKLearn, Pandas, Numpy, MatPlotLib, SeaBorn Containers: Kubernetes, Docker, Singularity Cloud services: AWS, Azure, GCP and Firebase Edge Devices: Android, Jetson Nano, Jetson Xavier, Raspberry Pi, Neural Compute Stick Android Development Web Development I am sure, given the opportunity, we will prove to be very helpful in your service Looking forward to hear from you Thanks and Regards
€560 EUR em 21 dias
0,0 (0 avaliações)
0,0
0,0
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Hi, I have three year's experience building computer vision solutions. Send a message if you are interested. Regards, Sreerag
€250 EUR em 90 dias
0,0 (0 avaliações)
0,0
0,0

Sobre o cliente

Bandeira do(a) GERMANY
Hanau, Germany
5,0
4
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Membro desde out. 8, 2019

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