Biometric Hand Scanner for Door Handles

Team Basics:

Biometric Hand Scanner for Door Handles

CCD West Side Biometrics

https://canvas.eee.uci.edu/groups/19617

Team Composition:

Tarik Snyder, Electrical Engineer

Skills and Experience: Three years of Arduino and Python Programming experience. Automation project design for Data Acquisition System, Strain Gauge circuit design and Real Time User-Interface design.

Technical Aspects: Would like to work on hardware schematic design for the CCD sensor and lense. I can work on the image processing programming.

Role: Team Captain

Vincent Tran, Electrical Engineer

Skills and Experience: Contracts and Procurement of materials, C-programming, Microsoft Project, Electromagnetics and Optic Calculations, Circuit Simulations

Technical Aspects: Would like to work on lens simulations on Zemax for cylindrical and push bar door handles and programming for the image processing

Role: Hardware & Software

George Guentchev, Electrical Engineer

Skills and Experience: Eight years of electrical diagnosis and repair with General Motors as diagnostic technician for GMC and Cadillac.

Technical Aspects: Performed digital circuits diagnosis and repair, including module performance and communication with other modules connected on the same network and actuators diagnosis and repair.

Role: Hardware design and assembly, Testing

Alan Lo, Electrical Engineer

Skills and Experience:  Circuits Design and Simulations, DSP Design, and C Programming. Experience working with Raspberry Pi and Arduino.     

Technical Aspects: I will contribute my experience with C-Programming in Image Processing, and experience with Raspberry Pi/Arduino to design and build a CCD sensor push bar door handle.       

Role: Hardware & Software

Jason Guu, Electrical Engineer

Skills and Experience: C/C++ Programming, experience working with Cypress Semiconductors, which offers OEMs a custom-size reader that can be flexibly integrated into any mobile device’s industrial design or home button.

Technical Aspects: Would like to program the imaging stitching and processing code for the hand scanner

Role: Software

Introduction:

Fingerprint biometric data has been used for decades as a reliable method to uniquely identify one individual from another. With today’s technology the acquisition of biometric data has been made a simple task, and government regulated databases have been created containing the biometrics of criminals, immigrants, and long term visa visitors to the United States.

Companies, such as Bioelectronix, and global sources have created biometric data security systems. However, there is not a patented attempt to create a system that can use biometric data, such as palm print, to identify company personnel or students to keep track of entry and exit patterns, attendance, and others.

Overall Team Strengths:

We have a wide variety of hardware and software skills and the experience needed to be able to  construct the hand reader and its imaging processing software. We all have industry experience and are familiar with the project management and material procurement process. We are knowledgeable in the fields of electromagnetics, optical electronics, optical lenses, and image processing programming.

Ozdal Boyraz

This mentor was our professor for Electronics 1 and Electromagnetics 2. He has a great background in optics, CMOS, and CCD technology.We expect our mentor to help us decide the proper lense shape and possibly help us decide what type of CCD sensor to purchase. He will give us hardware, assembly and design guidance. Boyraz was the first mentor we approached to mentor us on the senior project. We contacted Boyraz by going to his office hours at the end of Spring quarter in 2017 while some of us were in his EECS 180B electromagnetics 2 course. We were not very aggressive when contacting him.

Project Idea:

We want to create a hand reading device that is capable of extracting biometric data off door handles of different shapes (cylindrical and pushbar) using CCD technology and optical lenses. Later we would like to store the biometric images in a database. Professor Boyraz had suggested the project idea for us. We are drawn to this idea because it allows us to apply our software and hardware in designing the hand scanner. This also has many practical applications - which include improved security systems for both private and public facilities. This is an original idea as many current hand scanners are done on planar surfaces. The project will definitely be a challenge for our team since we had never designed a hand scanner from scratch, but we have the skill sets needed to obtain the proper resources that will facilitate the design process. We plan to research how biometric images are formatted and after we can filter our search for CCD sensors to find the one best suited to give us an accurate and clear image. Also we must choose a lense to complement our CCD sensor as magnification is very important. Our project requires a strong skillset in optical physics and programming for image processing. The team has a basic understanding of optical physics, programming, and hardware assembly which are strong assets for this project. We may need to reach out to programming experts if we are met with challenges along the way for the image processing software.

Goal:

CCD West Side Biometrics seeks to design a biometric hand scanner that captures the biometric data of an individuals hand from the natural movement of opening a door. For this project, we are focusing primarily on two types of door handles - a cylindrical door handle and a curved push bar. We want to create devices to provide convenience for both public and private security.

Approach:

We will run lens simulations to pick out which lens can take the clearest picture of a hand print at a distance of 2 cm and project the image onto a CCD image sensor. We will then need to design a 3D printed casing that will support the CCD image sensor and lens assembly in a small space to be able to fit the sizing of most standard door handles. Lighting fixtures will be assembled in a way where a picture can clearly be taken both in day and night.

The main innovation behind our approach is that we will be able process the image into biometric data regardless of the curvature of the surface that the hand will make contact with.

Progress & Current Status:

• We have selected the lens, CMOS and camera module configuration that can focus a clear image 3-4 cm away from the object.

- Pushbar handle has been cut and surfaced with acrylic to replicate a flat  surface where hands will be in contact with

• Currently working on an assembly unit that will hold the capture device in place behind the push bar handle and switch that will trigger image capture.

• Software for biometric data processing still needs to be done.

Demo of the Prototype:

https://youtu.be/v0_Beggz6cE