In the realm of digital forensics and crime or accident reconstruction, the difference between a conviction and an acquittal often hinges on the ability to quantify the “unquantifiable.” For years, investigators have relied on subjective witness testimonies or rime-intensive manual frame-analysis to estimate vehicle speeds. However, in modern litigation, “fast” is merely an opinion—speed is a factual necessity.
With the latest update to MD-VIDEO AI, we are proud to introduce our Speed Estimation feature. This feature is designed to move beyond visual observation, providing investigators with a scientifically grounded methodology to extract velocity from standard CCTV, dashcam, and surveillance footage.
Bridging the Gap Between Visuals and Actionable Data
Forensic video analysis often suffers from low frame rates, poor lighting, and extreme motion blur. These factors make manual speed calculation not only time-consuming but also prone to human error. MD-VIDEO AI’s Speed Estimation addresses these challenges through Ground-Plane Speed Mapping, allowing for precise velocity calculation of any object moving across a fixed surface.
Critical Investigative Scenarios:
• Crime/Accident Reconstruction & Braking Analysis: Determining the exact speed at the moment of impact is vital. Our tool allows investigators to calculate velocity changes and braking points, providing a clear picture of the events leading to a collision.
• Pedestrian Safety & Negligence Determination: In pedestrian-involved incidents, the “avoidability” of the accident is a primary legal question. By analyzing speed data, forensic experts can determine if a driver was adhering to speed limits and whether they had sufficient time to react.
• Hit-and-Run Investigations & Establishing Intent: One of the most challenging aspects of a hit-and-run is proving “intent to flee.” By quantifying a suspect’s acceleration immediately following an impact, MD-VIDEO AI helps investigators provide evidence of deliberate evasion.
A Comprehensive Video Forensic Ecosystem: Supporting Global Identification
While speed provides the context of a crime, identification provides the subject. MD-VIDEO AI goes beyond quantification. Our industry-leading Number Plate Restoration engine works alongside our analytical tools to resolve high-speed motion blur that typically renders identifiers unreadable.
We are proud to announce that our AI models are currently supporting all 50 U.S. state number plate designs. Furthermore, our commitment to global justice means we provide comprehensive coverage for over 50 countries in Europe, Asia, Latin America and Africa with specialized vehicle classes, including motorcycles.
Conclusion: The Future of Evidence is Precise
The introduction of Speed Estimation marks a significant leap forward in video forensics. By integrating automated velocity calculation with high-fidelity number plate restoration, MD-VIDEO AI provides a unified environment where investigators can build cases based on hard data rather than estimates.
When every mile per hour—and every pixel—matters to the truth, trust the precision and integrity of MD-VIDEO AI.
Interested in integrating MD-VIDEO AI into your investigation workflow? Contact our Global Sales Team to schedule a technical briefing or request a trial license.
