People Counter with Raspberry Pi 3 (IP camera, USB camera)

People Counter with Raspberry Pi 3 (IP camera, USB camera)

The software consists of two parts:

The first part is installed on the Raspberry Pi 3 with GPS module, 3G/4G USB modem and IP/USB camera, counts incoming and out coming people under the camera, the counter have to determine people who go close to each other (without distance). It is going to work like a head counter. The system must save the incomes and outcomes registers into database (MySQL) in the same raspberry with time and GPS marks. The system has to send data to the server.

The system should operate in offline mode in case of internet connect failed, archiving data, when the connection is resumed, it is necessary to transfer data to the server for the period of connection failure.

In case video loss, loss of video picture in time of GPS data changing, power failure and switching to backup power, the system should send the signal to the server or send sms or the message to the e-mail.

The second part of the software installed to the server. Several devices (Raspberry Pi with camera counter) will operate in system. Administrator and users with limited rights should operate the system. The user should be able to access the system on the server, see on-line mode the counting of people for selected devices, selected routes, statistics for selected data and time intervals, for GPS marks and selected devices. The system should record the video with time and GPS marks.

The accuracy of people counting should be 95-98%.

The software based on OpenCV and Python.

It will needed to fit the software for specific hardware.

The supporting of the project future developing will appreciate.

Example of people counting:

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Skills: Linux, MySQL, Python, Software Architecture, Software Testing

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About the Employer:
( 0 reviews ) Mariupol, Ukraine

Project ID: #16496038

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Hello, Client. I saw your suggestions and I am very interested in. I have enough experience and strong skill in this field. [login to view URL] I can provide robust More

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Hello I know the opencv as well You have to install the opencv on your Raspberry Pi3 We can discuss the project in detail Best

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shadabkhan92 done the similar project lets chat

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Hello, I invite you to discuss in detail about your requirement. I have all electronic parts and in this case I can provide you one tested solution. Thanks.

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I would love to have the opportunity to discuss your project with you. Feel free to interview me at anytime. I am expert in Python,Linux,Software Architecture,Software Testing,MySQL as per project requirement.I am wa More

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Hello, sir. I have good skills in Image(Video) Processing and have experienced in Face Recognition, FingerPrint Recognition, BodyLanguage Recognition, Object counting, Car license plate recognition, Face Verification, More

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