Lock ‘Em In: Quin-C’s Top 5 Features

Lori Tyler

Aug 29 2019

If you’ve been following Quin-C developments this year, you know we’ve packed it with powerful features. But you probably also know, we never stand still. Ahead of a major release due at the end of month, you’ll want to be sure to lock in Quin-C’s top 5 current features — auto-tagging, cross-case contacts, cross-case geo-location, facial/image recognition and training, and the Internet widget — and get ready for what‘s ahead. It’s all designed to make digital investigations and legal review faster and more efficient.

Auto-Tagging Eliminates Manual Work, Helps Narrow Your Dataset

Quin-C is the only AccessData solution that offers auto-tagging, allowing investigators to automatically create and apply tags to search terms in one or any number of cases, and eliminating the need to manually search on and tag every term in every case.

Save time and ensure accuracy when you import customers’ large word lists and automatically tag documents reactive to the listed terms. Quin-C winnows your whole dataset to deliver a relevant limited dataset for review.

Cross-Case Contacts Reveals Hidden Correlations

When you want to know whether a suspect has contacted another suspect from any of your previous investigations, Quin-C can provide the answer fast.

Quin-C cross-case contacts lets you search for common contacts among emails, phone numbers and any social media chat applications. It examines the entire list of contacts from your selected cases and surfaces any common contacts between the cases. If a common contact is found, Quin-C displays the whole communication matrix between the common contact and the suspect.

Cross-Case Geo-Location Makes Analysis Simple and Visual

Taking the cross-case analysis one step further, Quin-C cross-case geolocation lets you easily find artifacts and suspects that have been at a common location for a specified or unspecified period of time. Use time and space queries to instantly reveal if suspects from multiple datasets were near each other, where they were, and when they were there. You can also identify places commonly or most frequently visited by the suspects across your cases. Commonalities can be detected among any data marked with a geo tag.

In the example shown here, the investigator queried Quin-C to see if any people in question were within a radius of 15000 meters of one another on a specific date — and quickly got a map and list of relevant results based on a London geo-tag, represented graphically in the lower panel.

System Training, the Latest in Facial/Image Recognition

Quin-C takes image and facial recognition to the next level. Now you can train Quin-C on objects or faces you choose from a single photo, or opt for a built-in, pre-trained model that uses machine learning to detect images in various categories, including weapons, drugs, nudity, currency and more.

We’ve seen exciting results, including investigators ingesting CCTV videos in Quin-C, creating thumbnails of the footage and successfully training the system to find relevant objects and people from the data.

As You Like It: More Robust Internet Data Review

Quin-C delivers flexible, efficient review of Internet-related artifacts. Whatever your browser, you can finally look at Internet data in ways you’ve always wanted.

Categorize Internet data based on domain; custom domain groups or common groups such as pornography-related artifacts; social media URLs and related artifacts; Internet searches (e.g., Google, Google maps, social media sites); and more. View, sort and filter browser activity by domain, URL, number of visits date and other common Internet data attributes. An Internet time chart helps you visualize the browsing habits of a given user based on the time of day of their data.

Quin-C’s features, including these five key performers, are constantly evolving for improved accuracy. If you haven’t locked into these advanced capabilities yet, contact us to request a demo.

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