Intelligent Video Management Platform

Marksan Digital Evidence Management (DEM) is a unified management system, which is designed to collect, store, query, redact, share, and analyze the videos, audios, photos, and files from body camera, CCTV, and more. Adopting a micro-service architecture, DEM allows you to conveniently expand capacity. In case of the hardware or software failure, the data in the DEM is secured without loss and the downtime is minimized, thanks to the disaster recovery. DEM has a wealth of applications such as face redaction, evidence sharing, evidence tags, and data analysis, reducing significant costs and labor hours compared with traditional workflows. DEM is widely used in public safety, judiciary, emergency, and transportation.

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                                                                                                   Highlights
Data Security 
Keep the evidence intact from field to court, thanks to the AES-256 encryption algorithm and digital signature verification technology.
Redaction
Recognize, track, and blur the face or license plates on the AI-based video redaction application. Moreover, you can redact audio or other personal details with ease.
Audit Trails
Record every evidence-related operation to ensure the chain of custody and evidence integrity.
Case-Evidence Linkage
Create a case and link related evidence to the case, enhancing your work efficiency.
Quick Search
Search by officer ID, recording location, metadata information, or tags to find the evidence quickly.
Statistics
Monitor the quantity, size, and length of user evidence, group evidence, and agency evidence as well as quantity, downloads, and shares of user cases and agency cases.
User Permission Control
Set user and function-based permissions to control who can access the evidence for privacy.
Log Management
Record details of all activities on the DEM like login, logout, creation, deletion, and more. The logs cannot be deleted without permission.
Customizable Tags
Add a tag to the evidence for classification. Set evidence retention time in batches, just by assigning the retention time to the tag.