Project Leader Raphaël Pittet

 

Immersive Evidence and Mixed Realities
at the Service of Law


The Immersive Evidence project aims to transform how evidence is presented and analyzed in judicial settings by leveraging mixed reality technologies—integrating real-time interactions between the physical world and digital elements through augmented reality (AR) and virtual reality (VR). The goal is to enhance the accuracy and interactivity of evidence examination while upholding the fundamental principles of justice.

In complex legal cases, presenting evidence can be challenging and not always easy to interpret for litigants, judges, jurors, and lawyers. Virtual and augmented environments provide improved visualization and a more precise manipulation of objects and scenes, bridging the gap in immersive comprehension of certain disputed situations.

 

Examples of different 3D data representations - Gezawa et al., 2020

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

General and Specific Objectives

 

Project Components

The Immersive Evidence project is structured into four key components:


⮕ Component 1 : Evidence Digitization and Modeling

Challenge: Capturing and generating 3D objects and scenes to facilitate immersive presentation.

Approach :

  • Employing machine learning models for depth generation and spatialization.
  • Utilizing high-precision 3D scanners for small and medium-sized objects (e.g., Revopoint MINI, Shining 3D EinScan-SE).
  • Using 360° cameras for large-scale environments.
  • Optimizing 3D files (USDZ, GLTF/GLB formats) to ensure compatibility and efficiency in various presentation systems.


⮕ Component 2 : Integration of Immersive Evidence in Legal Procedures

Challenge : Establishing a practical and normative framework for the admissibility of 3D models as legal evidence.

Approach :

  • Developing 3D files accessible via VR headsets or computers.
  • Connecting with the Cyberjustice Laboratory’s interactive courtroom interface and other AR/VR solutions.
  • Implementing a content repository (Lab servers) to centralize raw and processed data.


⮕ Component 3 : Neuro-Law and Immersive Evidence

Challenge : Incorporating functional brain imaging (fMRI) to reconstruct certain memories or perceptions in immersive form.

Approach :

  • Utilizing generative models to convert neural data into images or 3D models.
  • Assessing the legal and ethical acceptability of these new forms of evidence.


⮕ Component 4 : Ethical and Legal Analysis

Challenge : Ensuring the reliability, neutrality, and legal compliance of immersive evidence.

Approach :

  • Conducting an empirical evaluation of how immersive evidence influences the perceptions of litigants and decision-makers.
  • Identifying risks of manipulation or bias.
  • Developing normative recommendations to promote the ethical adoption of these technologies.


 

Expected Outcomes

Short Term (6 to 12 months): :

Long Term (12 to 24 months and beyond) :

 

 

 

This is an interdisciplinary project involving neurosciences (basic research, neuroimaging, neuroinformatics, etc.). Are you a laboratory or R&D department interested in contributing? Don't hesitate to contact us.

This content has been updated on 07/21/2025 at 11 h 07 min.