BLADE Use Case
Process drone video at point of collection — 95% bandwidth reduction
The Challenge
Intelligence, Surveillance, and Reconnaissance (ISR) platforms generate terabytes of full-motion video daily — but only a fraction contains actionable intelligence. Current processing models backhaul raw video to centralized DCGS facilities, consuming scarce bandwidth and creating latency that degrades tactical utility.
- A single MQ-9 generates 1.2 TB of FMV per mission. Backhauling this data over SATCOM links that provide 2-10 Mbps is physically impossible during concurrent operations, creating an intelligence bottleneck.
- Centralized DCGS processing introduces 2-24 hour latency between collection and exploitation. For tactical units operating at the speed of close combat, intelligence that arrives hours late has near-zero operational value.
- The Army estimates that 95% of ISR video collected is never watched by a human analyst. Critical intelligence sits in storage because there are not enough trained analysts to review the volume of data collected.
- Small tactical UAS (RQ-20 Puma, RQ-7 Shadow) lack organic FMV processing capability. Operators watch live feeds but cannot perform systematic exploitation — change detection, pattern analysis, or target correlation.
How BLADE Solves It
BLADE processes ISR video at the point of collection, applying automatic target recognition, change detection, and pattern-of-life analysis on-device. Only enriched metadata and high-value clips are transmitted — reducing bandwidth requirements by 95% while delivering actionable intelligence in seconds.
Video Ingest
BLADE receives RTSP/GMSL video feeds directly from UAS payload or ground relay. Supports simultaneous processing of up to 8 video streams on BLADE Bravo.
Frame Analysis
Every frame is processed through YOLO detection models fine-tuned for military objects: vehicles, personnel, weapons systems, structures, and field fortifications.
Automatic Target Recognition
Detected objects are classified against a military object library — distinguishing between a T-72 and a civilian truck, a dismounted combatant and a farmer, a mortar position and agricultural equipment.
Change Detection
BLADE compares current imagery against geo-registered baseline images to identify changes: new structures, vehicle movements, terrain disturbance consistent with IED emplacement, or field fortification construction.
Pattern-of-Life Analysis
Over multiple collection passes, BLADE builds activity patterns for areas of interest — vehicle traffic rhythms, personnel movement schedules, facility usage patterns — and flags deviations from established baselines.
Intelligence Product Generation
AI generates structured intelligence products: annotated imagery, track histories, change detection overlays, and pattern-of-life summaries with confidence scores.
Metadata Transmission
Enriched metadata, detections, and selected high-value clips are transmitted over constrained links. Full video stays on local encrypted storage, available for download when bandwidth permits.
Analyst Query Interface
Intelligence analysts query the processed data in natural language: 'Show me all vehicle movements near grid coordinate XY1234 in the last 48 hours' — with instant, sourced results.
Deployment Configuration
This use case spans 2 BLADE tiers for full operational coverage.
BLADE ALPHA
Attaches directly to small tactical UAS ground control stations. Processes single video feed in real-time for dismounted ISR teams.
BLADE BRAVO
Multi-stream processing for company and battalion ISR cells. Handles 4-8 simultaneous video feeds with cross-stream correlation.
Key Capabilities
Purpose-built AI capabilities for this mission set.
Automatic Target Recognition
Military-grade object classification distinguishing 50+ vehicle types, weapons systems, and tactical formations with 92%+ accuracy.
Real-Time Change Detection
Geo-registered baseline comparison identifies terrain changes, new construction, and disturbance patterns consistent with threat activity.
Pattern-of-Life Analysis
Multi-pass temporal analysis builds activity baselines and flags anomalies — unusual traffic, changed schedules, new positions.
95% Bandwidth Reduction
Transmit enriched metadata and selected clips instead of raw video. A 1.2 TB mission compresses to 60 GB of actionable intelligence.
Natural Language Querying
Analysts query processed ISR data conversationally. No specialized tools or training required to extract intelligence from collected data.
Multi-Stream Processing
BLADE Bravo processes 4-8 simultaneous video feeds with cross-stream entity correlation and deconfliction.
Performance Metrics
95%
Bandwidth Reduction
92%+
Target Recognition Accuracy
<2sec
Detection Latency
8
Simultaneous Video Streams
See BLADE in Action
Schedule a classified demo of BLADE for tactical isr processing or download the solution brief to share with your team.