MacForensicsLab 3.0 released

MacForensicsLab Inc. announces the immediate availability of the latest version of their computer forensic suite, MacForensicsLab 3.0. The latest version of MacForensicsLab features redesigned core functions making it faster to zero in on suspect evidence with an easier and more intuitive interface…”MacForensicsLab 3.0 brings many new features to the software suite while building on many of the things it already does best.” said Marko Kostyrko, CEO of MacForensicsLab Inc. “We’re very happy with the evolution of this product and excited for where it’s headed in the future.”

Speed improvements make all tasks faster than ever. Some operations were benchmarked to run up to 12 times faster then the previous version. New 64-bit operation helps to maximize speed and take full advantage of newer Mac’s Intel processor. MacForensicsLab has redesigned memory allocation algorithms to prevent system freezes due to memory leaks or inefficient memory distribution by the operating system. This ensures that MacForensicsLab is always running at it’s best.

• Speed increases of up to 12 times faster than previous versions.
• Optimized for 64-bit engines.
• Redesigned memory allocation routines to prevent system freezes and increase speed.
• New easier to use device and file view interface.
• One-click directory listing generation (with hash information).
• Ability to Export/Save any file and folder from any window.
• Built-in skin tone analyzer to zero in on pornography.

For more information about MacForensicsLab 3.0, please visit MacForensicsLab.com

MacForensicsLab is priced at $1195 for licensed law enforcement and $1495 for private industry. Upgrade pricing is available for owners of previous versions of MacForensicsLab for $495. Those that purchased MacForensicsLab after January 1st 2010 are entitled to receive a free upgrade to version 3.0. Please contact Sales@MacForensicsLab.comSales@MacForensicsLab.com for information on upgrading.


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Evaluation copies of MacForensicsLab 3.0 are available to licensed investigators and media. Please contact Sales@MacForensicsLab.comSales@MacForensicsLab.com to obtain an evaluation agreement.

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00:00 – What is DeepPlate and what is its purpose?
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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?
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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?
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31:00 – What are the limitations and considerations when using AI-based tools like
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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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