A Career in Forensics: 5 Key Steps

Joseph Naghdi, an experienced computer technologist, transitioned to digital forensics in early 2000 because he was intrigued by how data is stored and discovered on computers. Today, he’s a forensics analyst at Computer Forensics Lab, a U.K. consultancy specializing in computer forensic services and advanced data recovery. The high point of his work, he says, is when he solves tough cases, such as a recent phishing attack against a UK bank that almost led to the transfer of 3 million pounds…

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Digital Forensics News Round-Up, May 01 2024 #dfir #computerforensics

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.

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

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

Forensic Focus 30th April 2024 9:58 am

Forensic Focus Digest, April 26 2024 #digitalforensics #dfir

Forensic Focus 26th April 2024 3:35 pm

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