Sentient Vision Systems‘ AI-enabled sensor solution, ViDAR (Visual Detection and Ranging), has successfully demonstrated a range of detections at high operating altitudes of 30,000 feet. The demonstration, conducted for the Australian Defence Force (ADF), focused on technology to detect, locate, and track small objects in complex environments. ViDAR, utilizing superior deep learning and computer vision, offers faster processing and more accurate detections, providing commanders with immediate situational awareness on the battlefield.

Missions include:

  1. Wide area reconnaissance: Sentient scanned 2000 km2/hr while detecting objects of interest, including people, vehicles, and vessels. This is 30 times faster than an HD turret.
  2. Surveillance overwatch: Observe specific locations in a busy environment and report on activity

The successful demonstration of Sentient Vision Systems’ ViDAR, an AI-enabled sensor solution with two modes of observation, comes at a timely moment as the United States, United Kingdom, and Australia strengthen ties through the AUKUS trilateral agreement, mainly focusing on the AI workstream in Pillar II. This achievement highlights the importance of collaboration with allies, providing data diversity to enhance detection and classification accuracies, ultimately aiding operators in making informed decisions in information-overloaded environments during multi-domain operations.

The advantages for military operators using Sentient Vision Systems’ ViDAR include platform agnosticism, interoperability with mission systems, and an intuitive GUI, requiring minimal logistics and training support. The system offers enhanced versatility with scanning and overwatch sensors, providing joint forces with land and maritime capabilities. ViDAR ensures high-accuracy data, enabling the detection, location, classification, and tracking of objects at 30,000 feet for Intelligence, Surveillance, and Reconnaissance (ISR) purposes. (Reference)

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Post Image- Sentient’s ViDAR maritime detection at high altitude (Post Image Credit: Sentient Vision Systems)