ARTech Unlimited's AI-integrated weapon sights bring intelligent automation to the point of aim, giving operators a decisive edge in complex and time-critical engagements. By embedding machine learning directly into the sight's processing pipeline, the system delivers real-time target detection, accurate range estimation, and enhanced visibility in low-light and degraded conditions — all within a compact, ruggedized form factor designed for field deployment.
The target detection module uses a convolutional neural network trained on diverse operational imagery to identify and track personnel, vehicles, and other threat signatures automatically. Detected targets are highlighted in the operator's display with bounding overlays and classification labels, reducing the cognitive load on the shooter and enabling faster, more confident engagement decisions. The detection engine runs at low latency on an embedded processor, ensuring no perceptible delay between scene change and display update.
Integrated laser rangefinding, combined with AI-driven ballistic computation, provides precise range estimation to detected targets. The system automatically calculates and applies ballistic corrections — accounting for range, angle, wind, and ammunition type — and presents an adjusted aiming point to the operator. This eliminates manual hold-over calculations and significantly improves first-round hit probability at extended ranges.
For operations in darkness or adverse weather, the sight incorporates a thermal imaging channel alongside the day-vision optic. AI-based image fusion and contrast enhancement algorithms combine thermal and near-infrared data to produce a clear, detailed picture even in complete darkness, heavy smoke, or fog. The result is consistent operational capability across the full 24-hour cycle, without the bulk or power demands of traditional image-intensifier tubes.