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CCTV Target Tracking

₹37500-75000 INR

Imefungwa
Imechapishwa over 4 years ago

₹37500-75000 INR

Kulipwa wakati wa kufikishwa
We're looking for someone to develop a live CCTV Target Tracking solution for us. The target can be a person or an object in real time on a CCTV camera feed. Please message for further questions.
Kitambulisho cha mradi: 21323875

Kuhusu mradi

7 mapendekezo
Mradi wa mbali
Inatumika 5 yrs ago

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7 wafanyakazi huru wana zabuni kwa wastani ₹61,250 INR kwa kazi hii
Picha ya Mtumiaji
Pro Python/C++ Programming/OpenCV/Tensorflow Expert! Dear employer Once saw a your project, it was very attracted my mind because I am very interested in your project and also, have rich experiences and high skills on these fields because I have been working in this fields for 7+ years. If given a chance, I am highly confident in my ability to deliver the highest quality. I am confident that my involvement in your project will bring it to a successful launch, on time and within budget. I look forward to hearing from you. Kind Regards
₹56,250 INR ndani ya siku 7
4.8 (53 hakiki)
6.8
6.8
Picha ya Mtumiaji
Hello, It needs Tensorflow, Caffe. Yolo, OPenCV, Image Processing I can Show You Cool Demo like yours I've experienced the Face, Motion, object Detection , recognition, tracking, counting program development a lot. I'm a Software Engineering expert. And I lead a good team. Program languages that I mastered are such as Python, c/c++, vc++. While I read your proposal, I'm very confident that I can do that perfectly. The important point for your project is just for me to focus on your program clearly an correctly. If you are satisfied by my suggestions, pls send me message and chat with me. Thank you for your consideration. Yours sincerely.
₹40,000 INR ndani ya siku 5
5.0 (6 hakiki)
3.2
3.2
Picha ya Mtumiaji
hi As an experienced Machine Learning and Computer Vision developer using OpenCV and Python, I find your project very interesting and would like to know further details from you. I have developed a strong foundation of machine learning skills using multiple knowledge sources (online courses, publications, Kaggle contests). Image/Video analysis applications are my favorite type of Machine Learning applications and I have used OpenCV and Python most effectively in building numerous applications like Object detection, Face detection, Text recognition etc. I have extensive experience in using Python and associated Machine Learning tool kits like SciKit Learn, Matplotlib, Numpy, Pandas and I have developed multiple projects using same. My key strength area is my debugging and analytical skills which comes from my 15 years of professional experience as a software developer. I have a deep sense of ownership, commitment and work ethics. Once I take on any assignment, I dedicate my full time and resources to the same until it is completed as per customer's satisfaction. I have very good presentation and documentation skills and an excellent command over the English language (verbal as well we written) I eagerly await further details on your project so we can discuss more on the actual task requirements.
₹75,000 INR ndani ya siku 10
5.0 (1 hakiki)
2.4
2.4
Picha ya Mtumiaji
Hi there - Hope you are doing great today. we have read the project details and yes we can help you. When you have time please contact us then we will further proceed according to your wish. Open to price negotiation Thanks, MabZone IT Solutions Web & Software Development Company
₹75,000 INR ndani ya siku 30
0.0 (0 hakiki)
0.0
0.0
Picha ya Mtumiaji
Message sender me i m making project
₹62,500 INR ndani ya siku 20
0.0 (0 hakiki)
0.0
0.0
Picha ya Mtumiaji
I have experience in implementing ML and DL models using tenserflow, keras and scikit-learn. I have completed many projects. Some of these are as: 1. Human Activity Recognition (HAR) :- I have tried three models Support Vector Machines (SVM), K-Nearest Neighbors (k-NN) and Convolutional Neural Network (CNN) to classify six activities(Walking ,Walking Upstairs, Walking Downstairs, Sitting, Standing, Laying). The most accurate model tried is SVM with accuracy of 98.47%. 2. Brain Computer Interface(BCI) with the P300 Speller which aims for helping patients incapable to activate muscles to spell words by methods for their brain signal activities. The first classification is to identify the presence of a P300 in the electroencephalogram(EEG). The second classification is the combination of various P300 response for deciding the correct character to spell. 3. Handwritten Digit Recognition using CNN :- Implemented a CNN model using tenserflow to identify handwritten digits from the MNIST dataset. I will first discuss problem statement and your requirement properly and then I will propose an approach and estimated outcomes with you and if you will agree with that then I will code that and complete it. Your requirement and statisfaction will be my first priority. Looking forward to hearing from you. Thank You.
₹75,000 INR ndani ya siku 30
0.0 (0 hakiki)
0.0
0.0

Kuhusu mteja

Bedera ya INDIA
Mumbai, India
0.0
0
Mwanachama tangu Sep 17, 2019

Uthibitishaji wa Mteja

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