Integrate data from a Raspberry Pi or Odroid device to [login to view URL]

Cancelled Posted 5 years ago Paid on delivery
Cancelled

I have pointed out below the sections that I would need from you. Let me explain more about the project:

Here is how the solution currently works:

A user walks into the entrance of a building

The Odroid IP camera detects the user's face based on a database of images stored in AWS.

We are using Dlib's face detection.

If the user's face is detected, a message displays on the TV monitor that says "User recognized" and the user gains access to the entrance.

Today there is a laser beam that allows entrance.  The security controls can deactivate a laser, unlock a door, buzz a user in, etc.  The controller can control anything on the IP network.  We are using a Raspberry Pi for the laser beam activation.

For embedding the feature extraction from the detected face, we are using Dlib’s face feature based on face landmarks.  

As for Face identification: the candidate will be SVM (supper vector machine) classification algorithm, which was implemented with Scipy in Python.

--> This is where I need the help: If the user's face is NOT detected, a message displays that says "Unrecognized user" and the user is prompted to register at the front desk.

The user fills out contact details in Salesforce. The login page is really a Salesforce site that creates a new contact in Salesforce.

The user can use the image that was captured by the IP camera, or can take a new picture.  S/he enters basic contact information at the registration laptop.

The data is sent to Salesforce in which a contact record is created.  The picture can also be saved.  Salesforce contact data and the AWS data are bi-directionally integrated. <----end help

Email and SMS notifications are sent to the appropriate personnel to approve/reject access to the user. We are using Twilio for this.

The user will receive an email or an access code via SMS after registration.  If the user opted in to receive SMS messages, then s/he will immediately get a text with a link to a temporary QR code.  If not, then the user will get an email with the link to the QR code.  The QR code can be used to allow one-time access to the entrance.

Every time the user uses the QR code to enter /exit the building, an activity is timestamp is sent to Salesforce.

When the user leaves the building, his/her face is detected and the user is logged out of the system.

Amazon Web Services Cloud Computing Linux Python Software Architecture

Project ID: #18914296

About the project

10 proposals Remote project Active 5 years ago

10 freelancers are bidding on average $28/hour for this job

hegazy

Long raspberry and beaglebone experience. I should be able to help you with this. Also experienced with android.

$52 USD / hour
(6 Reviews)
4.3
silicolabs

We have done many IOT projects using Raspberry pie and Arduino and different cloud platforms such as Azure and AWS. Let's connect to discuss more in the details.

$22 USD / hour
(15 Reviews)
4.5
vijaysingh109

Hi, I am salesforce certified integration and deployment architect came up with 9+ years of rich experience, For more details please visit my profile and message me so that we can connect and talk.

$25 USD / hour
(3 Reviews)
3.6
CanvasInfotech10

Hello, Hope you are doing absolutely great. Instead of writing a Proposal I would like to approach you directly for this job, as we have been working on the AWS for last 3 years. Let's take this forward as it loo More

$22 USD / hour
(0 Reviews)
0.0
jinvillaz

Hello, I'm interested in your project. I have 5 years of experience in software development fullstack MEAN. Also, I worked with raspberry pi b++ and pi 3 b+. I can send my resume for more details about my experience More

$25 USD / hour
(0 Reviews)
0.0
plcprogramer

i can help you on this project i am Malaysian certified IIOT engineer and have a hand on experience of how to connect the industrial system with cloud(AWS) and making system with effective. please feel free to contact More

$26 USD / hour
(0 Reviews)
0.0