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Vehicle Number Recognition using Raspberry Pi Module - repost

$20-30 SGD / hour

Cancelled
Posted over 10 years ago

$20-30 SGD / hour

To program the Raspberry Pi ("refer to as the module") to capture through the camera the vehicle plate number (Singapore Vehicle Plate) and recognize the plate number through OCR. The camera will capture the vehicle number only when the vehicle is close enough thus some form of sensor is needed (e.g. sonic or infrared). Will request the module for information through http/socket. Deliverable: Source code and detailed instructions on setup and recompilation. Project timeline: 45 days upon awarded.
Project ID: 5120771

About the project

16 proposals
Remote project
Active 10 yrs ago

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16 freelancers are bidding on average $25 SGD/hour for this job
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Hi there, I have over 7 years experience working on HTML, Wordpress, Magento, Database administration, OpenCart, Website Design, Logo / Banner Design Joomla, CSS and Linux Administration. I have read the project description very well, and i would like to complete this project. lets complete this project
$25 SGD in 3 days
4.9 (861 reviews)
8.4
8.4
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With strong experience in Python plus embedded software development for Raspberry Pi. I can do it. Unfortunately, at this time I'm quite busy. If you're not in hurry I can start your project by end of month and should be complete in a few week. Please feel free to discuss more project detail and keep me into your consideration. Thank you.
$26 SGD in 10 days
4.9 (55 reviews)
6.1
6.1
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Hi, I'm interested in your project, and I'll be happy to help you to achieve it. I have a master degree in electronics and computer science. I've also participate in robotic competition where I and my colleagues were ranked 29th/200. So message me so we can discuss about the project and to reach agreement about how it's gonna go. Cheers
$27 SGD in 20 days
5.0 (18 reviews)
4.8
4.8
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I already have raspi to do the coding. Will purchase a raspi camera . I can take photographs from my present country and do the analysis and let you know the results. Sensing the number plate distance is not a major problem.
$27 SGD in 6 days
4.8 (24 reviews)
4.9
4.9
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Hello, I would like to ask and sggest few things. First instead of using some sensor I suggest to relay only on image processing algorithms, and detect moment when car appears at apopriate position. Next thing is question do you need fullt real time processing algorithm. If so it could be imposible to do it on resperry Pi, but if it is enaugh to take a snap of car at real time and postprocess it in other subproccess I can do it. So my suggestion is to do implement real time algorithm to take a snapshot, and postprocess these image in anoter subroutine. I would like to write it in python and OpenCV if you desire to have this code in C++ it takes littlebit longer but it is possible also. Greetings, Marek
$22 SGD in 10 days
4.6 (7 reviews)
4.9
4.9
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Hello, We are a professional team of Computer and Electronics Engineers specialized in Computer vision applications. We can help you in detecting the car number with some sort of technology to improve the image quality before doing OCR. And then detecting the characters on it. It will be more appropriate to use Ultrasonic sensor to detect the car. We will give you the best quality in the shortest time. We need from you a screenshots of the vehicle plates that was captured at different angles and with different motion speed if possible. Regards, Muhammad Nagy Elab Eg
$22 SGD in 10 days
5.0 (1 review)
4.0
4.0
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Hello, I am an embedded software engineer (with a soon-to-be-completed master's degree from TU Delft) and am very interested in your project. Several of my academic assignments were in the domain of image processing on real-time embedded platforms. In some of these cases, I have worked on the delegation of tasks to a dedicated image processing unit, such as the one on Rasberry Pi (VideoCore GPU). Having developed embedded software for several SoCs which use ARM processing units such as the Beagle Board, Zed Board, I have a good understanding of ARM architectures. In order to get started with a more detailed work plan, information on the Singapore Vehicle Plate, the actual platform on which the module will be installed, the limitations/restrictions on the choice of sensors, and the type and level of testing and validation would be required. I look forward to your response. Thank you!
$22 SGD in 10 days
4.2 (3 reviews)
3.2
3.2
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I am based in Singapore, I have few queries. - Do you have the hardware? - OCR results cannot be 100% accurate, what level of accuracy are you expecting?
$22 SGD in 3 days
5.0 (2 reviews)
2.4
2.4
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I have nine years of experience in using c++ with linux for development of embedded software. Kindly send your confirmation to start work. With best regards, Rajiv Kumar Tiwari ..........................
$22 SGD in 12 days
5.0 (1 review)
1.1
1.1
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Technology expert, how to guide, tutorials creator, Mobile & software technology I'm a technology enthusiast and love bringing life to people's tech through how to guides and video tutorials. I love creating guides that get people using the software, smartphone, tablet, device, widget whatever in another way or ways they never though possible. That's why I founded the website The Human Manual because it's about real humans simplifying technology through video. Get in touch if to your related project that you think me or my team can help with!
$22 SGD in 20 days
0.0 (0 reviews)
0.0
0.0
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I love coding and I am good at it. I have worked on image processing before. I have a good experience both with Python and C++. I haven't worked with Raspberry Pi before, but I have read about it and working with it seemed pretty easy. I am bidding for this project because it sounds really interesting! I am not interested in the money and I can reduce the price further, if I am awarded the project. I am a very dedicated person and I will not give you a chance to complain if I get this project.
$20 SGD in 20 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of SINGAPORE
Singapore, Singapore
0.0
0
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Member since Feb 17, 2013

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