Key terms and concepts in forensic video analysis, criminal defense, and AI-powered evidence review.
A security measure where a computer or network is physically isolated from unsecured networks, including the internet. FrameCounsel's air-gapped mode disables all network connectivity to ensure zero data transmission during evidence analysis, protecting attorney-client privilege and chain of custody.
A deep learning face recognition model that maps facial features to a high-dimensional vector space, enabling accurate face identification and comparison. FrameCounsel uses ArcFace for tracking individuals across multiple video sources with 99.4% accuracy on standard benchmarks.
A recording device typically worn on a law enforcement officer's chest, shoulder, or head to capture audio and video of interactions with the public. BWC footage is one of the most common types of evidence analyzed in FrameCounsel, often revealing details not captured in written reports.
Evidence favorable to the defendant that the prosecution is constitutionally required to disclose under Brady v. Maryland (1963). This includes exculpatory evidence that could prove innocence and impeachment evidence that could undermine prosecution witnesses. Failure to disclose Brady material can result in overturned convictions.
The chronological documentation of the seizure, custody, control, transfer, analysis, and disposition of evidence. A complete chain of custody establishes that evidence has not been tampered with or altered. FrameCounsel maintains an immutable audit log with SHA-256 hashing to document every action performed on evidence files.
An AI-powered feature in FrameCounsel that compares official reports, witness statements, and other documents against video and audio evidence to identify discrepancies, inconsistencies, and factual contradictions. This is particularly valuable for comparing officer reports against body camera footage.
A camera mounted on the dashboard or windshield of a vehicle, commonly used in law enforcement vehicles to record traffic stops, pursuits, and other incidents. Dashcam footage often provides a wider-angle view and different perspective than body-worn cameras.
The standard used by federal courts and many state courts to determine the admissibility of expert testimony and scientific evidence, established in Daubert v. Merrell Dow Pharmaceuticals (1993). The standard evaluates whether the methodology is testable, peer-reviewed, has known error rates, and is generally accepted in the relevant field.
Deep Simple Online and Realtime Tracking, an algorithm that combines deep learning appearance features with motion prediction to track multiple objects and people across video frames, even through temporary occlusions and camera movement. FrameCounsel uses DeepSORT for reliable person and object tracking throughout footage.
The process of partitioning an audio stream into segments according to the speaker identity, answering the question "who spoke when." In FrameCounsel, diarization separates and labels different speakers in body camera and interview recordings, making it easier to attribute statements to specific individuals.
Evidence that tends to clear a defendant of guilt or reduce the severity of the charge. Under Brady v. Maryland, prosecutors must disclose all exculpatory evidence to the defense. FrameCounsel's AI analysis helps identify exculpatory details in video footage that might be missed during manual review.
A person with specialized knowledge, training, or experience who is permitted to testify in court about matters within their expertise. Forensic video analysts serve as expert witnesses to explain technical findings from video evidence analysis. FrameCounsel generates reports designed to support expert witness testimony.
The scientific examination and evaluation of evidence for use in legal proceedings. Forensic video analysis involves the systematic examination of video recordings to extract, clarify, and document information relevant to a case. FrameCounsel provides forensic-grade analysis tools that document methodology and maintain evidence integrity.
Impeachment evidence that the prosecution must disclose under Giglio v. United States (1972). This includes information that could undermine the credibility of prosecution witnesses, such as prior inconsistent statements, deals with prosecutors, criminal history, or a history of dishonesty.
A fixed-size alphanumeric string generated by a cryptographic hash function (such as SHA-256) that serves as a digital fingerprint for a file. Any modification to the file, even a single bit, produces a completely different hash. FrameCounsel uses SHA-256 hashing to verify evidence integrity throughout the chain of custody.
Data about data, such as timestamps, GPS coordinates, device information, file format details, and recording settings embedded within video files. Metadata is critical for establishing when, where, and how footage was recorded, and FrameCounsel extracts and preserves all metadata during analysis.
The constitutional rights advisory that law enforcement must provide to suspects in custodial interrogation, established by Miranda v. Arizona (1966). FrameCounsel can help identify whether Miranda warnings were properly administered by analyzing body camera footage and transcribing verbal exchanges.
Apple's machine learning framework optimized for Apple Silicon, enabling efficient AI model execution on Mac hardware. FrameCounsel uses MLX to run AI models (including Whisper, YOLO, and others) directly on the Neural Engine, enabling on-device analysis without cloud dependencies.
The ability to synchronize and simultaneously view multiple video recordings from different sources (body cameras, dashcams, surveillance) that captured the same event. FrameCounsel aligns videos using timestamp correlation and audio matching, providing a comprehensive multi-angle view of incidents.
A dedicated hardware component in Apple Silicon chips (M1, M2, M3, M4) designed specifically for machine learning inference. The Neural Engine enables FrameCounsel to run complex AI models at high speed without requiring an internet connection, cloud processing, or external GPU.
Open Source Intelligence, the collection and analysis of information from publicly available sources. FrameCounsel's OSINT tools help defense teams gather contextual information from public records, social media, and other open sources to support their investigation.
A foundation model developed by Meta for image and video segmentation that can isolate any object in a scene with precision. FrameCounsel uses SAM3 to segment and isolate specific people, objects, or areas of interest in video frames for detailed forensic examination.
A FrameCounsel feature that creates a chronological reconstruction of events by correlating timestamps, video segments, transcript excerpts, and evidence markers. The timeline builder helps attorneys visualize the sequence of events and identify gaps or inconsistencies in the evidence.
The process of converting spoken language in audio or video recordings into written text. FrameCounsel uses MLX Whisper for on-device transcription with speaker diarization, producing timestamped, searchable text that can be cross-referenced against official reports and witness statements.
The amount of physical effort required by law enforcement to compel compliance by an unwilling subject. Body camera analysis is frequently used to evaluate use of force incidents, and FrameCounsel's AI tools help defense attorneys analyze these incidents frame-by-frame to identify excessive or unjustified force.
A real-time object detection algorithm that identifies and classifies objects in video frames with high accuracy and speed. FrameCounsel uses YOLOv8 to detect people, vehicles, weapons, and other objects of interest in footage, achieving 97%+ accuracy on common object categories.