Fall of Shot Feedback

Deep Vision's technology provides instantaneous fall-of-shot statistics for small arms training.

In a project supported by the UK Ministry of Defence (MoD) through the Centre for Defence Enterprise (CDE) Enduring Challenge programme, Deep Vision has developed a passive electro optical system that detects the point of impact of shots during live fire training exercises.

Technology Highlights
  • Automatic or operator designated target detection and tracking
  • Automatic detection of missed shots
  • Real-time passive range indication
  • Real-time shot profile performance feedback analysis
  • Robust to maritime conditions
Technology Details
  • Platform: Designed for integration into Remote Weapon Stations, Manned Weapon Stations, Near-shore Operation and USVs.
  • Sensor: Daylight camera support.
  • Environment: Designed for diverse maritime environments.

Videos

Designation and tracking of a training target and detection of fall-of-shot in real-time. Basic performance statistics are enumerated, including the number of missed shots and the shooter bias. Designation and tracking of a training target, detection of fall-of-shot, and presentation of operator statistics. The relative miss-distance between the shot and the target is displayed. Real-time performance statistics are shown.
  • Target (80x80 px) in motion
  • Sea State disturbances
  • Prominent wake
  • Camera panning
  • Isolated, infrequent shots
  • Runtime shooter performance: missed shots, shooter bias
Designation and tracking of a training target and detection of fall-of-shot in real-time. Basic performance statistics are enumerated, including the number of missed shots and the shooter bias. Designation and tracking of a training target, detection of fall-of-shot, and presentation of operator statistics. The relative miss-distance between the shot and the target is displayed. Real-time performance statistics are shown.
  • Target (35x35 px) in motion
  • Sea State disturbances
  • Prominent wake
  • Camera panning
  • High contrast imagery
  • High shot density
  • Runtime shooter performance: missed shots, shooter bias
Designation and tracking of a training target and detection of fall-of-shot in real-time. Basic performance statistics are enumerated, including the number of missed shots and the shooter bias. Designation and tracking of a training target, detection of fall-of-shot, and presentation of operator statistics. The relative miss-distance between the shot and the target is displayed. Real-time performance statistics are shown.
  • Target (10x10 px) static in scene
  • Calm sea state
  • Prominent wake
  • No camera motion
  • Frequent target occlusion
  • High shot density
  • Runtime shooter performance: missed shots, shooter bias
Designation and tracking of a training target and detection of fall-of-shot in real-time. Basic performance statistics are enumerated, including the number of missed shots and the shooter bias. Designation and tracking of a training target, detection of fall-of-shot, and presentation of operator statistics. The relative miss-distance between the shot and the target is displayed. Real-time performance statistics are shown, as well as a cumulative view of missed shot frequency for the exercise.
  • Target (12px to 200px) in motion
  • Calm sea state
  • Prominent wake
  • Rapid Camera motion
  • Rapid Target motion
  • High shot density
  • Runtime shooter performance: missed shots, shooter bias