

How to augment, apply filters, blurring, stabilization, and other techniques to enhance digital videos will be explored.Students will learn how to augment digital video files, as well as the pros and cons of the process.Hands-on labs will explore the functionality of DVR Examiner, including how to split frames, export videos, play proprietary formats within the software, and more.Students will learn about clip lists and how to tag and export clips.Incident and location detail s with DVR Examiner will be set up as well as reviewing the software’s Audit Log.Students will understand the scan job types within DVR Examiner and how to successfully filter and explore videos.The difference between different scan types within DVR Examiner along with available features will be explored.The DVR Examiner software will be used to create new cases and explore collected forensic images.

Hardware write-blockers will be demonstrated with student’s use to understand how to safely protect drives during the imaging process.Safely disassembling and removing digital storage hardware from within DVR systems will be learned through hands-on exercises.Students will learn how to export files natively using DVR systems as well as how to safely remove and image the internal storage media to capture information.The differences between local storage, cloud storage, and network storage DVR systems will be explained.This module will focus on how digital videos are stored on modern digital video storage or digital video recorder systems.MODULE 3: DIGITAL VIDEO STORAGE (DVR SYSTEMS) At the conclusion of this module, students will be able to successfully identify information about video files and their formats.File formats, metadata of files, and codecs that comprise digital video files will be explored.Students will learn about the history of digital video formats, including how these files are formatted and structured.The basic concepts of dealing with digital evidence such as hashing, timestamps, and the setting up of scene collection devices will be explored.Learning objectives will be presented along with expected outcomes over the course’s four days.MODULE 1: INTRODUCTION AND PRINCIPLES OF DIGITAL EVIDENCE
