ADF Solutions’ New Triage-ID 2.0 Forensic Software Speeds Time-to-Conviction

ADF Solutions, Inc. announced today the release of Triage-ID 2.0®, the next generation of its widely deployed forensic triage software. This software is deployed in both field and lab investigations of computers and is used to identify high-value evidence in a matter of minutes – thereby eliminating the long forensic backlogs that many investigators face today, while helping to speed time-to-conviction in CP cases…In the United Kingdom, Nottinghamshire Police have successfully leveraged the software to secure a conviction in less than 7 weeks – a process that otherwise has taken up to 18 months. The speed of this conviction sets a record in the UK for the prosecution of the possession of abusive and indecent images of children. In the first 3 months after adopting Triage-ID, Nottinghamshire Police also reported a 20% drop in their forensic backlog, and this backlog has continued to decline significantly since then. Other agencies in the United Kingdom, United States, Australia, and Europe have reported similar results.

Triage-ID is forensically sound and has been used by both technical and non-technical professionals, including field detectives, forensic examiners, intelligence operatives, and e-discovery experts.

“The traditional forensics approach to examining all computers worked well enough when overall hard drive capacities were much smaller. But in today’s world of terabyte storage and nearly endless multimedia applications, this approach has led to severe forensic backlogs” said J.J. Wallia, CEO and co-founder of ADF Solutions. “As a result, criminals who should be behind bars have been allowed to continue to walk the streets. Unfortunately, until we deploy effective triage procedures and reduce forensic backlogs, this situation will only get worse.”

Critical to the success of the Triage-ID software is its intelligent search technologies, which include the patent-pending SearchPak® and advanced image-matching technologies. These technologies have proven capable of rapidly identifying unknown child exploitation images and other conclusive evidence on suspect computers, thus leading to confessions and quicker convictions for many child exploitation cases.

Key new developments in the Triage-ID software include a user-friendly graphical interface to view evidence directly on suspect computer(s), one-click setup for non-technical users to deploy triage scans, and the ability to image the suspect hard drive directly from the Triage-ID software.


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Triage-ID is integrated into the 2-day Digital First Responder® training program offered by ADF Solutions and its partners worldwide. The software is currently integrated into law enforcement training programs in the United States, United Kingdom, Europe, and Australia.

ABOUT ADF SOLUTIONS
ADF Solutions, Inc. is the global leader of forensic triage tools for rapid evidence recovery and intelligence extraction from computers and peripheral devices. These tools are specifically designed to address critical law enforcement and national security issues faced today by the justice, intelligence, and defense communities due to overwhelming digital forensic backlogs. The company has a proven track record of addressing these issues. ADF Solutions’ clients include major law enforcement, defense, customs border, and intelligence agencies in the United States, United Kingdom, Australia, Canada, Germany, Netherlands, Portugal, and several other countries. For more information, visit http://www.adfsolutions.com.

Triage-ID, SearchPak, and “Digital First Responder” are registered trademarks of ADF Solutions. All other trademarks referenced herein are the property of their respective owners.

NEWS CONTACT:
Therisa Stewart
ADF Solutions, Inc.
Tel: (301) 588 7225 ext 115
press@adfsolutions.com

©2006 ADF Solutions, Inc. All rights reserved. Web by BC.

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Forensic Focus 1st May 2024 5:30 pm

Marco Fontani joins the Forensic Focus podcast to discuss Amped Software’s latest AI-powered tool, DeepPlate. DeepPlate is a deep learning system designed to read license plates affected by common issues introduced by surveillance systems, making it a valuable asset for forensic video analysts.

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The conversation delves into the limitations and considerations when using AI-based tools in a forensic workflow, with Marco emphasizing the importance of bias mitigation techniques and proper interpretation of confidence scores. He stresses that DeepPlate is an investigative tool designed to provide a second opinion, rather than a tool for court admissibility.

00:00 – What is DeepPlate and what is its purpose?
02:45 – How many countries does DeepPlate currently support?
09:30 – What are the challenges of diplomatic and personalised number plates?
11:30 – How would a forensic video analyst use DeepPlate as part of their workflow?
13:40 – Can DeepPlate be used in Court?
16:30 – What is Amped Software’s position on AI?
19:00 – What will be the impact of updated models on results?
20:50 – What kind of data is used to train the system?
23:30 – How has the system been tested?
26:15 – What are the access conditions for using DeepPlate?
28:05 – Does Amped Software retain user data for DeepPlate and if yes for how long? 
29:45 – Is it possible to buy additional seats for your license?
31:00 – What are the limitations and considerations when using AI-based tools like
DeepPlate for forensic and investigative purposes?
35:20 – Does Amped Software plan to use AI in other areas?

Show Notes 

Washington State Judge Blocks Use Of AI-Enhanced Video As Evidence In Possible First-Of-Its-Kind-Ruling - https://www.linkedin.com/feed/update/urn:li:activity:7181308834370494464/

Neural Network for Denoising and Reading Degraded License Plates - https://link.springer.com/chapter/10.1007/978-3-030-68780-9_39

Introducing DeepPlate, Amped’s Investigative Tool for AI-Powered License Plate Reading - https://blog.ampedsoftware.com/2024/02/28/introducing-deepplate-ampeds-investigative-tool-for-ai-powered-license-plate-reading

Marco Fontani joins the Forensic Focus podcast to discuss Amped Software’s latest AI-powered tool, DeepPlate. DeepPlate is a deep learning system designed to read license plates affected by common issues introduced by surveillance systems, making it a valuable asset for forensic video analysts.

Marco provides an in-depth overview of DeepPlate, explaining how it currently supports eight countries (France, Germany, Italy, the Netherlands, Spain, Sweden, the UK, and the United States) and how it uses separate models for each country to account for varying license plate formats. He also discusses the synthetic data generation process used for training the models, ensuring privacy and mitigating bias.

The conversation delves into the limitations and considerations when using AI-based tools in a forensic workflow, with Marco emphasizing the importance of bias mitigation techniques and proper interpretation of confidence scores. He stresses that DeepPlate is an investigative tool designed to provide a second opinion, rather than a tool for court admissibility.

00:00 – What is DeepPlate and what is its purpose?
02:45 – How many countries does DeepPlate currently support?
09:30 – What are the challenges of diplomatic and personalised number plates?
11:30 – How would a forensic video analyst use DeepPlate as part of their workflow?
13:40 – Can DeepPlate be used in Court?
16:30 – What is Amped Software’s position on AI?
19:00 – What will be the impact of updated models on results?
20:50 – What kind of data is used to train the system?
23:30 – How has the system been tested?
26:15 – What are the access conditions for using DeepPlate?
28:05 – Does Amped Software retain user data for DeepPlate and if yes for how long?
29:45 – Is it possible to buy additional seats for your license?
31:00 – What are the limitations and considerations when using AI-based tools like
DeepPlate for forensic and investigative purposes?
35:20 – Does Amped Software plan to use AI in other areas?

Show Notes

Washington State Judge Blocks Use Of AI-Enhanced Video As Evidence In Possible First-Of-Its-Kind-Ruling - https://www.linkedin.com/feed/update/urn:li:activity:7181308834370494464/

Neural Network for Denoising and Reading Degraded License Plates - https://link.springer.com/chapter/10.1007/978-3-030-68780-9_39

Introducing DeepPlate, Amped’s Investigative Tool for AI-Powered License Plate Reading - https://blog.ampedsoftware.com/2024/02/28/introducing-deepplate-ampeds-investigative-tool-for-ai-powered-license-plate-reading

YouTube Video UCQajlJPesqmyWJDN52AZI4Q_OVTrTRCC5ZQ

AI-Powered License Plate Reading With Amped DeepPlate

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