Present State-Desired State Strategy

• The present state of the problem is passwords nowadays must fit certain requirements; for example having an uppercased letter, or having a special character. These requirements force users to remember long and complicated passwords that will often end up forgotten and not entirely secure due to computers being able to predict user inputs. The desired state is something that requires almost no effort or memorization while still having the quick computation time and secure password.

Kepner-Tregoe Situation Analysis

What is known about the current problem is that currently it is low level, lots of timing but can have fairly large impact. The current problem is not deemed high level because currently there is already a solution, just not an optimal one causing for the task to be done correctly but just inefficiently so. Current solutions of the problem are what is causing for a new solution to be explored because of the problems raised by them. The timing for this situation is similar to the level where there is no current rush for a new solution because an older one is already implemented and recognized. The impact of the situation is large because it safeguards much personal and private information so if the current solution were to be deemed even more vulnerable, perhaps by new brute forcing techniques or software, the situation would become much more dire and a new solution would be needed immediately.

Kepner-Tregoe Problem Analysis

Observing all sides of the problem there is much to unfold and realize. In addition with the multiple strategies in formulating a problem what is known is the lack of speed that comes from current password technologies. This is observed with many companies attempting to mark their solution to password handling but none are universal and widespread enough. Constraints and importance would be found within what information is being safeguarded and the level at which software the security system would be up against. It can be expected that this problem would need a solution that would not follow the current system but rather follow a new way that would be more secure than previous iterations.

This problem is currently being seen by practically every computer user. Nearly all applications have some form of login to protect private or otherwise confidential information that should not be shared with everyone. This information could be used to exploit or harm individuals therefore it would be protected. A solution to this problem would not have to occur immediately but eventually because the current realm of password management has been good at recognizing solutions against common password breakers but this cannot continue as computers begin to get better and better at cracking these codes. A solution to this problem would be most beneficial to users who would like to protect their information securely, so this can range from a normal individual who would like to safeguard their bank information or a government worker trying to prevent confidential information from becoming public information.

A solution to this would most likely be found on any system that currently uses text based password security. An issue that can arise with this is updating some systems as some do not allow for an overhaul that easily and would require adapters to welcome a new solution. This problem is genuinely important because as stated previous is applies to any individual who uses a text based password security system (which is included in nearly every electronic nowadays). The current solution works because it allows for passwords to be remembered on a personal level but this also causes issues with uses who cannot remember as well as others. This causes for even more vulnerabilities as they make their password simpler and more easily broken to remember it with less difficultly. This problem mostly relates to security which is important to most individuals that would put their information behind a password. 

Assignment 4 (10/14)

Define Design Goals and Specifications:

Establish clear and measurable design goals and specifications for the secure access system. This shall include parameters such as accuracy, speed, user-friendliness, and security levels.

Technology Research and Selection:

Research and evaluate existing facial recognition and machine learning technologies to identify the most suitable options for integration with the Raspberry Pi platform.

User Scenario Analysis:

Identify and analyze various user scenarios to understand the context and conditions under which the secure access system will be used. Consider factors like lighting, user mobility, and real-world usage patterns.

Data Collection and Preprocessing:

Develop a plan for data collection, including capturing facial images under different conditions and scenarios. Create a preprocessing pipeline to clean and prepare the collected data for training.

Machine Learning Model Development:

Train machine learning models for facial recognition, utilizing the preprocessed data. Optimize the models for accuracy and speed, while minimizing false positives.

Raspberry Pi Integration:

Develop the hardware and software components necessary to integrate the machine learning models into the Raspberry Pi platform, ensuring efficient performance and resource usage.

Usability Testing:

Conduct usability testing with a diverse group of users to gather feedback and iterate on the system's design. This step should involve multiple iterations to refine the user experience.

Security Assessment:

Perform a comprehensive security assessment to identify vulnerabilities and threats associated with the access system. Implement security measures to mitigate potential risks.

User Training and Support:

Develop user training materials and support mechanisms to ensure users can effectively utilize the secure access system. This will include user guides and troubleshooting resources.

Trial-Based Study:

Plan and execute a trial-based study from the present until the spring of 2024. Collect user feedback, monitor system performance, and make necessary adjustments to meet the design goals and specifications.

Continuous Improvement:

Implement an iterative process for continuous improvement based on the insights gained from user feedback and performance data.

Eliminate Unsuccessful Paths:

Throughout the project, regularly review progress and eliminate any paths that do not align with the desired design goals and specifications. Be ready to pivot or adapt as necessary. When testing various methods of fingerprinting vs facial recognition, the results of the facial recognition were most effective at achieving requirements.

Assignment 5 (10/21)

Relevant Patents

• Facial Recognition for Door Handle

• Database of faces to unlock Device

• Facial Recognition Standard in Europe

• Unlocking and Locking of Vehicles using Facial Recognition

• Password Combination for Computer Entry Based on Emotion

Relevant Copyrights

• Paper on Temporal Orientation

• Data on Facial Recognition in a Noisy Channel

Relevant Trademarks

• FACIAL RECOGNITION (live)

• Adaptive Facial Recognition (live)

Assignment 6 (10/28)

Process Model