FAQs / Digital Evidence Management
Digital Evidence Management
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General171
Security & Compliance134
AI Capabilities131
Deployment & Architecture73
Comparisons37
Support & Procurement32
Pricing & Licensing10
Integrations51
What is frame-by-frame video analysis in VIDIZMO DEMS?
It's a review tool that lets investigators step through video evidence one frame at a time instead of relying on standard playback, making it easier to catch details that pass by too quickly at normal speed.
What is bulk PII redaction in VIDIZMO DEMS?
It's a feature that automatically detects and redacts personally identifiable information across multiple files at once, instead of requiring you to open and redact each file individually.
What is a centralized evidence library?
It's a single, secure repository where all digital evidence, video, audio, images, and documents, is stored, organized, and managed in one place instead of scattered across separate systems or local drives. This gives investigators, compliance teams, and administrators one consistent system of record for evidence handling.
What is Multi-Stream Mosaic in VIDIZMO DEMS?
It's a viewing feature in VIDIZMO's Digital Evidence Management System that lets investigators display multiple video streams together on one screen, so related footage from an incident can be reviewed side by side instead of one file at a time.
What does "multiple portals" mean in VIDIZMO DEMS?
It lets an agency stand up separate, dedicated portals for different user groups (for example internal investigators versus external partners like prosecutors) instead of forcing everyone into one shared interface, while all portals draw from the same secured evidence repository.
What are video annotations in VIDIZMO DEMS?
Video annotations let reviewers add comments, tags, and labels directly onto specific points or segments of a video, so evidence review notes stay attached to the exact moment they reference instead of living in a separate document.
What is video chaptering in evidence review?
Video chaptering breaks a video file into labeled segments or markers so reviewers can jump directly to key moments instead of scrubbing through the entire recording. This is especially useful for long-form footage like body-worn camera, interview room, or surveillance video where only certain portions are relevant to a case.
What does AI object detection in VIDIZMO DEMS actually do?
It automatically scans video evidence and flags objects of interest, such as weapons, vehicles, license plates, or people, so investigators can jump straight to relevant moments instead of watching footage in real time.
What does AI-powered evidence search in VIDIZMO DEMS actually do?
It lets investigators search across large volumes of digital evidence using natural search terms instead of manually scrubbing through files, surfacing the specific moments, objects, or mentions that match a query. This is designed to cut down the time spent reviewing footage and documents case by case.
What is Single Sign-On (SSO) in VIDIZMO DEMS?
SSO lets users authenticate into VIDIZMO DEMS using their existing organizational credentials instead of a separate username and password, so a single login grants access to the evidence management system.
How does AI tagging help with organizing evidence?
AI tagging automatically labels and categorizes evidence as it's added to a case, making it easier to search, filter, and retrieve relevant files instead of relying on manual tagging.
What kind of permissions can I set on shared evidence?
You can define who can access a shared item and what they're allowed to do with it (such as view versus download), so recipients only get the level of access needed for their role.
When should I use manual redaction instead of automatic redaction?
Manual redaction is best when a case involves edge cases automated detection can miss or over-redact, such as partially obscured faces, unusual objects, or context-specific sensitive information. It's also used to review and fine-tune the results of automated redaction before evidence is released.
How does this feature improve accountability?
Instead of just logging who accessed a file and when, the system also records why, so supervisors and auditors can distinguish legitimate case-related access from access that may need follow-up. This makes it easier to spot inappropriate or unexplained access patterns.
How does this help speed up an investigation?
Instead of manually listening through recordings to figure out who said what, investigators can scan a speaker-labeled transcript and jump straight to the relevant person's statements, cutting review time on interviews, interrogations, and multi-party recordings.
How do annotations help with evidence review?
Instead of describing a timestamp in an email or spreadsheet, reviewers can mark it directly on the video with a comment or label, making it faster to flag key moments, hand off files to colleagues, and build a clear record of what was reviewed and why.
How does chaptering help investigators find relevant footage faster?
Instead of watching a video start to finish, reviewers can navigate by chapter to skip irrelevant content and go straight to flagged incidents, statements, or events. This reduces the time spent on manual review, which matters when cases involve hours of recorded evidence.
How does this speed up evidence review?
Instead of manually scrubbing through hours of footage, reviewers can jump directly to the tagged activities that matter to their case, cutting review time significantly.
How does this help with investigations?
By automatically flagging predicted facial attributes across large volumes of video footage, investigators can filter and search evidence more efficiently instead of manually reviewing every frame.
How does AI tagging help me find evidence faster?
Once evidence is tagged, it becomes part of AI-powered search alongside metadata, transcripts, spoken words, and detected objects, so instead of scrubbing through hours of footage, investigators can search by tag or keyword and jump straight to the relevant clip or document.
How do custom attributes improve evidence search and organization?
Because each piece of evidence is tagged with metadata specific to your workflow, staff can filter and search by the fields that matter to them (e.g., case ID or evidence category) instead of browsing folders or guessing file names.
Can we create reusable redaction templates for different case types?
Yes. You can save a configured set of redaction rules as a template and apply it to similar cases going forward, so redaction decisions stay consistent across your team instead of being re-configured each time.
What makes VIDIZMO different from other digital evidence management vendors?
VIDIZMO offers deployment flexibility no competitor matches -- SaaS, on-premises, air-gapped, hybrid, and government cloud options. CaseBot AI investigation assistant has no equivalent in competing platforms. Built-in redaction eliminates the need for separate FOIA tools.
Can we use our own domain/URL for the platform?
Yes, the platform supports a custom URL so users access evidence management through your organization's own web address instead of a generic VIDIZMO domain.
Can I share a specific chapter or section of a video instead of the whole file?
Yes, chaptering lets you point to a specific segment of a video so recipients, such as prosecutors, defense counsel, or other agencies, can go directly to the relevant portion rather than receiving and reviewing the full-length file.
How is this different from just watching the video myself?
Instead of manually scrubbing through long recordings, emotion detection surfaces the specific segments where notable emotional shifts occur, so reviewers can jump directly to the moments most relevant to a case.
How does it find specific content inside a video or audio file?
VIDIZMO applies AI processing (such as transcription and object recognition) to evidence at ingestion, which indexes what's said and what appears on screen so a search query can jump directly to the relevant timestamp instead of requiring someone to watch or listen to the entire file.
Can compliance workflows be automated instead of managed manually?
Yes, DEMS automates compliance-related workflows around evidence handling, reducing the manual effort and risk of error involved in maintaining CJIS, GDPR, and FIPS alignment.
How does bulk uploading work?
The application allows you to upload multiple evidence files at once instead of adding them one by one, streamlining intake for large evidence sets such as body-worn camera footage or bulk case files.
Do we need to change our current CAD/RMS/CMS setup to use DEMS?
No, the integration is designed to work alongside your existing CAD, RMS, and CMS tools rather than replace them, so DEMS extends your current infrastructure instead of requiring a system swap.
How does this help with storage costs?
Lifecycle policies can automatically move infrequently accessed evidence to cold storage or purge it once its retention period expires, freeing up primary storage instead of retaining every file indefinitely at full cost.
What kinds of cases benefit most from Multi-Stream Mosaic?
Incidents where multiple cameras or recording sources captured the same event, such as a scene covered by body-worn cameras, dash cameras, and fixed surveillance, benefit most, since reviewers can view every angle together instead of switching between individual files.
How does this speed up case resolution?
Instead of manually reviewing hours of footage to find relevant moments, investigators can scan the AI-generated summary first and jump straight to what matters, cutting down review time significantly.
How is this different from just emailing evidence files to another agency?
Instead of sending files over email or removable media, evidence is shared through a managed workflow that keeps access controlled and the collaboration process seamless end to end.
How does tamper detection simplify compliance workflows?
By automatically flagging unauthorized changes instead of relying on manual verification, tamper detection reduces the effort needed to demonstrate evidence integrity during audits, discovery, or compliance reviews.
How is this different from just having AI summarize evidence manually?
Instead of a one-off AI query, a workflow chains multiple steps, validation, extraction, summarization, linking, into a repeatable process tied to case or evidence events, so the same structured handling happens consistently across cases rather than being redone by hand each time.
How does CaseBot AI assistant help prosecutors prepare for trial?
CaseBot lets prosecutors ask natural language questions across an entire case library -- searching transcripts, detected objects, metadata, and locations simultaneously. Instead of manually reviewing hundreds of evidence files, prosecutors get cited answers pointing to specific timestamps and documents.
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