Analog
Direct video output for legacy FPV links and analog transmission chains where simplicity and low latency win.
Vision Engineered for the Mission
Daylight and thermal imaging built as complete sensor-and-optics systems — delivered in the interface your platform actually uses, and feeding AAD's onboard AI directly. No adapters. No added latency.
One Imaging System. Any Interface.
No two platforms integrate the same way. AAD cameras ship in the connector your airframe needs — same imaging quality, the interface that fits.
Digital
Networked digital video (Ethernet / RTSP) for high-resolution streaming and multi-consumer architectures.
MIPI
MIPI CSI-2 for the lowest-latency, board-level connection straight into the onboard compute module.
Glass That Holds Up Edge to Edge
Detection only works if the image is clean everywhere — not just in the center of the frame. AAD cameras use high-quality lenses engineered for minimal distortion and consistent image quality across the entire field of view.
Minimal Distortion
Low-distortion optics keep straight lines straight and geometry true across the full field of view — essential for accurate detection and targeting.
Edge-to-Edge Sharpness
Consistent resolution from center to corner. A target at the edge of the frame stays as clear and detectable as one in the middle.
Sensor-Matched Optics
Every lens is matched to its sensor to extract maximum usable resolution and light — sensor and optics engineered together as one system.
Daylight or Thermal — Built for Both
Choose the sensor that matches the mission profile. Both feed the same onboard AI pipeline.
Daylight · Visible Spectrum
UCMOS
High-resolution visible imaging for clear-condition detection, identification, and situational awareness.
- Maximum detail and color information
- High-resolution daylight target detection
- Streams directly to EdgeNode AI
Thermal · All Conditions
UTIM
Thermal imaging that sees through darkness, smoke, and adverse weather — when the visible spectrum can't.
- Detection at night and in low visibility
- Sees through smoke and obscurants
- Pairs with thermal-trained AI models
AAD Camera Systems
DaylightDaylight Camera
UCMOS
SKU · AAD-CAM-UCMOS
High-resolution visible-spectrum camera available with a Gigabit Ethernet or MIPI CSI-2 interface. Streams H.264 / MJPEG over RTSP for real-time daylight target detection, feeding EdgeNode AI directly.
- Type
- Visible spectrum (daylight)
- Interface
- Gigabit Ethernet or MIPI CSI-2
- Streaming
- H.264 / MJPEG (RTSP)
- Resolution
- 1920 × 1080 (2 MP)
- FOV
- Configurable — any FOV on request
ThermalThermal Camera
UTIM
Uncooled thermal imaging camera for all-conditions operation — detection at night, through smoke, and in adverse weather. Pairs with thermal-trained AI models and feeds EdgeNode AI directly.
- SKU
- pending
- Type
- Uncooled thermal (LWIR)
- Interface options
- Analog · Digital
- Resolution
- 640 × 480
- Frame rate
- 50 FPS
- FOV
- Configurable — any FOV on request
Camera, Compute & AI — Built to Work as One
AAD builds the camera, the EdgeNode AI compute, and the Wield-AI models together. Every frame streams straight into on-board detection — no adapters, no cloud — and because the models are tuned to our own cameras, accuracy is higher straight out of the box. One integrated pipeline, maximum performance. Cameras can ship with a representative training dataset matched to your targets and conditions — available on request, so your models start closer to mission-ready.
Camera
UCMOS / UTIM
EdgeNode AI
Onboard Compute
Wield-AI
Detect & ID
Maximum Performance
Camera
UCMOS daylight and UTIM thermal cameras, with sensor and optics engineered together and output in the interface your platform uses. Clean, low-latency frames built to be read by a machine — not just a pilot.
EdgeNode AI
The onboard compute module that ingests every frame and runs inference at the edge — no ground link, no cloud. Scalable headroom to run AAD's detection models in real time.
Wield-AI
AAD's detection and identification models, trained in-house and tuned to the exact camera profile — so the system doesn't just see motion, it classifies the target, day or night.
Maximum Performance
Because one team builds all three, there are no integration gaps between sensor, compute, and model — delivering higher detection accuracy and lower latency than any mix-and-match stack.
Cameras can ship with a representative training dataset matched to your targets and conditions — available on request, so your models start closer to mission-ready.