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On premise all-in-one solution for AI redaction across videos, audio, images, emails, and PDFs
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We will redact any video, audio, document, and images for you with maximum privacy and compliance
CaseGuard Studio Redaction, Transcription, and Translation Features
Video Redaction
Redact faces, license plates, screens, notepads, and more in one click from unlimited number of videos
Document Redaction
Redact Personally Identifiable Information (PII) from thousands of PDF, Excel, Doc, Email, PST files with one click
Audio Redaction
Redact Personally Identifiable Information (PII) like Names, Phone numbers, Addresses, SSN and more from thousands of files
Bulk Redaction
Get all your backlog redacted automatically. Use Bulk Redaction to redact unlimited number of video, audio, documents, and images
Image Redaction
Save 95% of your time redacting thousands of images using the automatic most advanced AI image redaction features
Transcription & Translation
Automatically transcribe & translate any audio or video from 50+ different languages, burn closed captions and more
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Redaction refers to the editing and removing of information from documents, videos, or audio to protect people’s personally identifiable information.
Despite posing a threat to privacy and the dangers of its misuse by the officials, the usefulness of CCTV systems cannot be denied. These systems must protect privacy, freedom, and security while preventing or detecting any abuse.
CCTV in healthcare improves security but raises HIPAA concerns. Facilities must comply with data protection standards, use redaction tools, and implement clear policies to protect patient privacy.
AI-powered video redaction software essentially develop the same processes police departments have deployed over the years. With these systems in place, officers can be assured that sensitive information is kept safe while fostering accountability by easily releasing information and preserving the privacy of people.
At a time when accusations and counter-accusations are becoming more rampant between law enforcement agencies and the general public concerning the use of excessive force during confrontations, it becomes imperative for all parties involved to come up with an all-inclusive solution to the reinstate public confidence in the police department. Incorporating AI-based algorithms into video redaction software allows the program to easily detect, track, and redact faces, license plates, computer screens, and other related PII from video footage.
Video redaction in the cloud, while it is possible, generally does not work as well as the more powerful desktop video redaction software programs. Many high-quality video redaction software programs, such as those used in government services, often have highly sophisticated machine-learning abilities to continually evolve and improve through use.
Using a video redaction software system is the best way for a school district to refrain from violating a student’s privacy or the federally based FERPA rights.
The removal (redaction) of information from videos, audio, and documents before public release is crucial to the safeguarding of information across industries.
License plate detection and redaction can be fairly simple for the complex machine learning AI-based video redaction software. The data to be searched for or tagged is entered by the information specialists or trained law enforcement officer and the system then searches for all objects that match the data set within the video.
Choosing the right video redaction software that fits the bill is vital for the credibility of the police department and the safety of the citizens. An efficient video redaction takes away all the privacy concerns of the public and makes police work a bit easier.
The power of the algorithms now used in machine learning have greatly improved automated video redaction to the point that it is easy to use and effectively relieves some of the costs involved in obscuring personally identifying information.