Automated Video Redaction Solution

The Police and Crime Commissioner for Sussex on behalf of themselves and the Police and Crime Commissioner for Surrey are looking to contract with a supplier for the provision of an automated video redaction solution for teams involved in supplying material linked for both civil and criminal cases. Amongst other things, the system will need to be able to meet the following requirements: • Masking/blocking of logos, faces, vehicle registrations and any other features as identified by the user. • Ability to redact video with and without audio. • Ability to apply reverse redaction • The ability to apply zone redaction • Finalise the redaction • Progressive Editing enabled – ability to edit/redact over time rather than edit all in one go (e.g., edit over a couple of shifts) • Ability to review redactions and amend/tweak as necessary during the mark up stage. • Ability to use both automated (automatic tracking of faces – e.g., if person moves, need the mask to move with it and track it) and manual redaction options. • Comprehensive Redaction Editing Options (Frame-by-Frame, Real-Time Tracking, Audio, facial recognition, VRN (Vehicle Registration Number) recognition, skin blur, and object tracking) • Ability to upload various media types and convert redacted video files in industry standards formats such as MP4, AVI etc from the Surrey and Sussex DEMs platform (currently NICE Investigate) • Automatic recognition of other vehicle reg numbers • Ability to collate digital groupings of evidence (photos, videos, CCTV, etc.) into case folders • Redact audio that comes with images – e.g., remove speech other than the person requesting the info, or redact names and addresses stated by the person • Redact audio only footage - e.g., remove speech other than the person requesting the info, or redact names and addresses stated by the person • Run transcriptions from audio. • Transcription Feature for Audio Redaction with Keyword/Phrase Identification • Assign and Modify User Permissions for Each Case • Role-Based Access Control (RBAC) Implementation