Nigerian Researcher, Chiamaka Femi-Adeyinka, Develops AI Glasses for Crime Scene Investigations

In the quiet stillness of a crime scene, truth often lies in fragments  fibers caught in carpet threads, a phone tucked beneath a chair, a faint reflection in glass that escaped the first sweep. For decades, investigators have relied on observation, photography, and documentation to capture those details before they disappear. Yet even the most meticulous investigator faces a simple reality: evidence cannot be collected if it is never seen. For Chiamaka Femi-Adeyinka, a digital forensics investigator and doctoral researcher, that limitation is not only a challenge of investigative discipline. It is a problem technology can solve. Her work asks a question that could reshape forensic science: what if investigators could enter a crime scene equipped with artificial intelligence capable of seeing more than the human eye alone?

Femi-Adeyinka is developing a system grounded in practical forensic needs  AI-assisted smart glasses designed to help investigators identify objects, log evidence automatically, and create a continuous digital record of a crime scene in real time. In a TEDx talk introducing the idea, she offered a simple observation: every crime scene tells a story, but not every clue is seen. Her research explores how wearable technology powered by artificial intelligence could act as a second set of eyes for investigators. The glasses would highlight potential evidence, capture images and contextual data, and document scenes in ways that preserve details that might otherwise be missed. The goal is not to replace investigators but to support them. As investigators move through a room, the glasses would scan the environment continuously, detect objects relevant to the investigation, highlight them in the user’s field of view, and record digital evidence that can later support reconstruction and courtroom testimony. The result is a workflow in which human intuition and machine precision operate together, turning observation into a digitally preserved evidentiary record.
The concept grows out of Femi-Adeyinka’s broader work at the intersection of cybersecurity, artificial intelligence, and forensic investigation. She is currently pursuing a Ph.D. in Digital and Cyber Forensic Science at Sam Houston State University in Texas, where she maintains a perfect GPA. Before beginning her doctoral studies, she earned a Master of Science in Computer Forensics and Cyber Security from the University of Greenwich in the United Kingdom, graduating with distinction. Her academic training reflects a clear focus on uncovering hidden information, whether inside digital devices, online networks, or physical crime scenes.

Her research portfolio extends beyond wearable investigative technology. Through academic publications and conference presentations, she has explored a range of emerging issues in digital forensics and cybersecurity. One of her peer-reviewed papers, “Enhancing the Digital Forensics Presentation Phase Through Immersive Virtual Reality Training Environments,” was presented at the International Symposium on Digital Forensics and Security and indexed in IEEE Xplore. The study examines how immersive virtual reality environments can improve the presentation of digital evidence during legal proceedings, helping investigators and juries visualize forensic reconstructions more clearly. Another paper, “Enhanced Approaches to Similarity Analysis on Car Accident Reconstruction,” presented at the IEEE World AI IoT Congress, explores how artificial intelligence techniques can support accident reconstruction by identifying similarities between complex data patterns. She has also conducted comparative research on digital artifacts generated by social media platforms, publishing a study analyzing forensic evidence recovered from YouTube, Instagram, and TikTok applications on Android devices.

Beyond her own research, Femi-Adeyinka contributes actively to the cybersecurity and digital forensics community. She has served as a manuscript reviewer for several international conferences, including the International Symposium on Digital Forensics and Security and the International Conference in Cybersecurity, IoT, Data Science, and Digital Forensics. She also plays roles in conference organization, serving as a scientific committee member for the International Symposium on Digital Forensics and Security and as a technical program committee member for the 2025 International Conference in Cybersecurity, IoT, Data Science, and Digital Forensics. These responsibilities place her among the researchers helping evaluate and guide new work entering the field.
Her professional affiliations reflect a wide engagement with cybersecurity and forensic science communities. She is a member of the American Academy of Forensic Sciences, IEEE and IEEE Women in Engineering, the International Information System Security Certification Consortium (ISC2), ISACA, the Association of Certified Fraud Examiners, Women in Cybersecurity, and the Nigeria Computer Society. Through these organizations she participates in global networks of researchers and practitioners working to address evolving digital and investigative threats.

Alongside research and professional practice, Femi-Adeyinkacontributes to education and workforce development. Through the U.S. Department of Defense Cyber Scholarship Program, she served as a research assistant on a project focused on developing low-budget mobile device digital forensics laboratories for community colleges and minority-serving institutions. The project aims to expand access to digital forensics education by providing affordable frameworks for training students using Android devices and open-source tools.
If realized at scale, the smart-glasses technology she is developing could transform the earliest stage of criminal investigation. Evidence collection could become more systematic and less dependent on human observation alone. Investigators could revisit digitally reconstructed crime scenes long after the physical environment has been cleared. Prosecutors and juries could examine scenes through recorded perspectives captured by investigators themselves. Most importantly, critical evidence would be less likely to disappear unnoticed in complex environments. In this sense, Femi-Adeyinka’s work reflects a broader shift in forensic science  thegradual integration of artificial intelligence into investigative processes that once relied entirely on human perception.

For now, the technology remains under development, emerging from research laboratories and academic conferences rather than police equipment rooms. Yet the idea is gaining attention because it addresses one of the oldest challenges in criminal investigation: the fragility of the first look at a crime scene. In pursuing this work, Femi-Adeyinka is not simply proposing a new investigative tool. She is rethinking the relationship between human perception and technological assistance in the search for truth. In the future she imagines, crime scenes will still tell stories. The difference is that investigators may finally have the technology to ensure that every fragment of that story is seen.