Security Enhancement with Facial Recognition
In a strategic endeavor to fortify its security protocols, an energy company sought the expertise of IBM to design a custom interface. Our team integrated advanced facial recognition technology and developed a custom dashboard for real-time monitoring and notifications. This ambitious project aimed to mitigate potential vulnerabilities, enhance operational efficiency, and ensure precise identification of personnel. Through meticulous planning and a comprehensive, methodical approach to both design and implementation, we aspired to create a robust and user-friendly security solution, positioning the company as a leader in innovation within the energy sector.
Research and Insight
Through comprehensive research and insights, I played a crucial role in enhancing an energy company's security measures. My contributions included designing a custom dashboard for real-time monitoring and notifications, integrating advanced facial recognition technology, and leveraging Watson AI. To ensure the project's success, I conducted an in-depth discovery workshop, identifying user pain points and securing stakeholder alignment. This workshop facilitated discussions with key stakeholders, mapped out current security processes, and provided valuable insights into specific challenges and requirements. By employing a meticulous and methodical approach to design and implementation, we developed robust and efficient security solutions tailored to the company's unique needs, ultimately positioning the company as a leader in innovation within the energy sector.
Pain Points
Objectives/Goals
Problem Statement
The company's existing security protocols were plagued by inefficiencies, inaccuracies, and vulnerabilities, which resulted in an elevated risk of security breaches and increased operational costs. These challenges necessitated a strategic overhaul to ensure a more secure and efficient system. To address these issues, I spearheaded the integration of Watson AI for advanced facial recognition technology and designed a custom dashboard for real-time monitoring and notifications. This approach aimed to enhance the accuracy of image identification, streamline security operations, and provide real-time alerts and monitoring capabilities.
Success Metrics
Design Process
User Research: I kicked off with a design workshop involving key stakeholders, followed by playback sessions to gather insights. Brainstorming sessions helped generate ideas and possible solutions, resulting in detailed end-user personas and user journey maps.
Agile Methodology: I embraced an agile approach, with tasks delegated to team members, including sprint planning and timeline targets for each action item. This ensured a structured and iterative development process.
Wireframing and Design: I developed low-fidelity wireframes using industry-standard design systems. Initial client feedback was positive, leading to the creation of high-fidelity designs. I collaborated closely with AI engineers to ensure seamless integration and technical feasibility.
Custom Dashboard Development: I designed and developed a custom dashboard that allows real-time monitoring, notifications, and comprehensive reporting. Iteratively, we improved the dashboard based on user feedback.
User Testing and Feedback: I conducted weekly standups with stakeholders for user testing sessions, iterating on the product continuously over a six-week period. During this process, I refined the metrics and notification messages to better fit usability needs, ensuring the solution was user-friendly and effective in real-time monitoring and notifications.
Handoff and Observation: Final designs and documentation were handed off to the development team for implementation. Continued observation ensured the product remained user-centric and optimized for end-user experience.
Results and Impact
Role: Senior Product Designer
Timeline: 6 weeks
Project Details
Conclusion
Through a well-planned and meticulously executed project, we successfully integrated Watson AI for facial recognition technology and developed a custom dashboard to address the energy company's security challenges. This comprehensive solution significantly strengthened their security protocols, providing real-time monitoring capabilities and reducing manual verification times.
The successful outcomes of this initiative included achieving 94% accuracy in facial recognition and increasing verification time savings by 48%. By leveraging advanced technology and prioritizing a seamless user experience, the company established itself as a leader in innovation within the energy sector. The custom dashboard delivered real-time alerts and comprehensive monitoring, significantly enhancing overall security management. In turn, this solution helped reduce downtime and operational inefficiency by 30%.
This project highlights the importance of a holistic approach to security, combining cutting-edge technology with user-centered design principles to achieve transformative results.