Smartwatch Forensics
Solve your case by evidence from smart wearables
Smartwatch forensics
Delve into the world of smartwatch forensics with MOBILedit, where every heartbeat and message tells a story. Our tools and connection kits offer a gateway to comprehensive data analysis, from health metrics to communication logs.
Smartwatches are the world's most popular wearable devices with unquestionable importance when it comes to forensic examinations. The personal data found in smartwatches can lead investigators in the right direction, especially when the phone is nowhere to be found. MOBILedit Forensic can extract heartbeat details, which gives the investigator an intimate look into the life of the user. This data reveals moments of excitement, stress, and even time of death. For a successful investigation, examining smartwatches is not only an option but a necessity.
MOBILedit Forensic supports the extraction and analysis of the most popular smartwatches in the world. Not only does it support the Apple Watch, but investigating other smartwatches, like Garmin, Samsung, or TCL, is now possible.
Smartwatch forensics = Smartwatch Kit + MOBILedit Forensic PRO
Why smartwatch forensics?
Smartwatch can be the only source of evidence
You cannot extract data from a phone if the phone is missing or even destroyed. What if the data has been deleted from your victim’s phone or the synchronization never happened?
Location Tracking
Smartwatches often have GPS capabilities, making them valuable for tracking an individual's movements. This can be crucial in cases like kidnappings, missing persons, or to corroborate or contradict alibis.
Rich Source of Personal Data
Smartwatches store a wealth of personal data including health metrics, location history, and communication records. This data can provide crucial insights into an individual's movements, activities, and interactions at specific times.
Communication and Social Media Activity
Many smartwatches are linked to social media and communication apps, allowing access to messages and interactions that could be relevant to a case. This includes texts, emails, and even social media notifications.
Timeline Reconstruction
The data from smartwatches can help in creating a detailed timeline of events, which is critical in forensic investigations. By analyzing activity and health data, investigators can piece together the events leading up to an incident.
How do you extract the data?
Connect the device and choose a logical full content extraction whereby MOBILedit Forensic will extract and analyze all available data and present the information in a variety of output formats.
Alternatively, use our Specific selection option which will allow you to tailor your report to the data you wish to present.
The results can be professionally presented in PDF, Excel, or HTML or exported as UFDR files. Backups of the data can even be created for examination at a later date.
Example of smartwatch data report from MOBILedit Forensic
A map from the report showing path of the examined person.
These reports go into further details offering other pieces of valuable data like biometric functions and exact GPS coordinates.
All major brands supported
The MOBILedit supports the analysis of all major brands of popualr smartwatch models that are currently in the market. For more details and specific models check the User Guide.
What you need for smartwatch forensics
Dive computer forensics
Extract data from even more wearables
Explore the depths of Dive Computer forensics, where every dive and depth reveals critical information. MOBILedit provides the tools and connectivity solutions to extract valuable data from these specialized devices.
Elevating digital forensic investigations
With MOBILedit, every bit of data becomes a piece of the puzzle in your forensic investigation. Our commitment to advancing digital forensics drives us to continually innovate, ensuring that our tools remain at the cutting edge of technology. We aim to enhance the field of digital forensics.
Our products are designed with compliance, security, and the needs of professionals in mind. For more detailed and technical information, we invite you to explore our comprehensive online user guide.
Why dive computer forensics
Dive computer is every diver’s black box
Dive computers meticulously record the depth and duration of a diver's underwater activity. This information can be crucial in investigations related to diving accidents, unexplained disappearances at sea, or in verifying the statements of witnesses or suspects in underwater-related incidents.
Checking compliance with proper dive protocol
They provide detailed decompression data which is vital in assessing whether proper diving protocols were followed. In cases of diving accidents or fatalities, this data can help determine if decompression sickness might have been a factor.
Physiological Data
Dive computers can monitor physiological data such as heart rate. This information can be instrumental in understanding a diver's physical condition during a dive, potentially providing insights into factors contributing to any incidents underwater.
Exploring the Depths: Dive Computer Forensics with MOBILedit
Dive computers, the silent witnesses of the depths, hold a plethora of data pivotal in forensic analysis. MOBILedit Forensic Pro and Pro+ offer a deep dive into this data, bringing to the surface information that can be critical in investigations.
A Sea of Data
Extracting data such as dive dates and times, water temperatures, depths, durations, and modes, MOBILedit Forensic tools reveal a comprehensive picture of a user’s underwater journey. These pieces of information, often overlooked, can be the key to unlocking complex forensic puzzles.
Analysis Redefined
With MOBILedit Forensic Pro and Pro+, analyzing data from dive computers becomes an exercise in precision and clarity. These tools not only extract data but also present it in a manner that is both comprehensive and comprehensible, catering to the specific needs of forensic professionals.
Over 200 supported models
All major brands are supported by MOBILedit. For more details and specific models check the User Guide.
