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.
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Hi SunnyMan629, I am professional web developer have a look at my profile having nice ratings and reviews. Our latest Python projects are: [login to view URL],cippo api,. Best regards, Michael
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.
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.