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control of vehicular traffic through artificial neural networks

1- part one:

a) count cars

B) know the velocity

c) use ip tplink n200 camera

2- part two:

a) enter the numbers of vehicles and the speed in the code of the simulation SUMO

b) achieve to enter a neural network with the new street

3- part three:

a) have an output variable with green time values ​​for each street

Kemahiran: Linux, Python, Kejuruteraan Perisian

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Tentang Majikan:
( 0 ulasan ) Bolivia

ID Projek: #19206768

6 pekerja bebas membida secara purata $593 untuk pekerjaan ini

Pingduoduo

Hi, How are you. These are some projects that i completed before. Plz check it. [login to view URL] I'm very interested in your job. I am an expert of machine learning Lagi

$1500 USD dalam 3 hari
(18 Ulasan)
5.3
MeihaoShiguang

Hello! I'm specialized in deep learning; have many experiences in image processing: classification, recognition, verification, and detection, etc. The kernel part of this project is detection + tracking. Python + Te Lagi

$1200 USD dalam 30 hari
(20 Ulasan)
5.5
akhileshgandhi

We can create automation flow for vehicular traffic control. Are you want this to be done using python?

$250 USD dalam 3 hari
(4 Ulasan)
4.2
naishodayo

Hi,dear. I am very interested in your project - 'control of vehicular traffic through artificial neural networks'. I've already done this kind of project before. I'm a professional programmer with 12 years of experienc Lagi

$155 USD dalam sehari
(1 Ulasan)
3.4
nainireddy

I am a researcher from the Indian Institute of Science. My research area is Machine learning and Image, speech processing. I have more than 10 publications in the above fields in the recent 3 years, including in CVPR. Lagi

$200 USD dalam 3 hari
(0 Ulasan)
0.0
ach5a2e047c07af0

We are team of AI/ML developers and expertise in Python/R and can work with various tech stacks and Tensorflow, Keras and PyTorch deep learning frameworks Please check [login to view URL] to know more about us I understand Lagi

$250 USD dalam 10 hari
(1 Ulasan)
0.0