WendyOS field kit - available now
Wendy Box
A ready-to-go NVIDIA Jetson Orin Nano with WendyOS preinstalled, a 4K camera, NVMe storage, and battery inside a dust-, heat-, and water-resistant Pelican case.
Bring it on site and run local detection for fire, smoke, pools of water, and intrusions without building the hardware stack yourself.
$1749.50 USD. One-time hardware purchase.
Industrial fire watch
Training Wendy Box on real flames, welding sparks, hot metal, and edge AI deployment.
Field-ready by default
Take computer vision to the site in one case.
Wendy Box packages compute, camera, power, storage, and WendyOS into a single rugged kit. It is built for teams that need usable onsite AI quickly, not another weekend of imaging drives, wiring camera mounts, and debugging drivers.
Protected case
Dust-, heat-, and water-resistant Pelican case for field environments.
Battery inside
Integrated battery so the kit can be staged quickly on site.
4K camera
Camera mounted behind the front window and ready for onsite perception.
Onsite training
Train Wendy Box on the fires it will actually see.
We bring Wendy Box on site, collect real fire data, and train detection workflows against the conditions your team cares about. Instead of guessing from synthetic examples, the system learns from all sorts of fires in the environment where it will be deployed.
That field loop is why Wendy Box exists: rugged hardware, local vision, and WendyOS in one kit so teams can turn site-specific data into site-specific detection.
Watch on YouTubeLocal detection workloads
Built for the hazards teams actually need to see.
Fire and smoke
Watch for early visual signals on construction sites, industrial floors, and temporary facilities.
Pools of water
Run local vision checks for standing water, leaks, and flooded areas before they become expensive.
Intrusions
Detect people or motion in restricted zones without sending every camera frame to the cloud.
Site alerts
Turn perception into local alerts and workflows that keep working when connectivity is unreliable.
Hardware stack
What is inside
The new Wendy Box is not a bare development board. It is a deployable edge AI appliance with the camera, compute, operating system, local storage, battery, and enclosure already assembled.
Compute
NVIDIA Jetson Orin Nano 8GB, 67 TOPS
GPU
NVIDIA Ampere, 1024 CUDA cores, 32 tensor cores
Memory
8GB 128-bit LPDDR5 at 102GB/s
Operating system
WendyOS preinstalled
Vision
Integrated 4K camera
Storage
NVMe SSD
Power
Integrated battery, 7W–25W compute draw
Enclosure
Dust-, heat-, and water-resistant Pelican case
Technical specifications
- AI performance
- 67 TOPS
- GPU
- NVIDIA Ampere architecture, 1024 CUDA cores, 32 tensor cores
- CPU
- 6-core Arm Cortex-A78AE v8.2 64-bit
- Memory
- 8GB 128-bit LPDDR5, 102GB/s
- Storage
- NVMe SSD (M.2, PCIe Gen3)
- Video
- Decode up to 1x 4K60 (H.265), encode 1080p30
- Networking
- Gigabit Ethernet, 802.11ac Wi-Fi
- Compute power draw
- 7W–25W
- Power
- Integrated battery
- Camera
- Integrated 4K camera
- Operating system
- WendyOS preinstalled
- Enclosure
- Dust-, heat-, and water-resistant Pelican case
Compute specifications are for the NVIDIA Jetson Orin Nano 8GB module inside the kit.
NVIDIA Jetson Orin Nano datasheet (PDF)Workflow
From case to site AI.
- 1
Bring the Wendy Box on site.
- 2
Power it on and connect it to your local workflow.
- 3
Run WendyOS vision apps for fire, smoke, water, and intrusion detection.
Product photos
The new Wendy Box.
Available now
Put a WendyOS vision kit on site.
Wendy Box gives your team a rugged, local-first AI appliance for field detection workflows.
$1749.50 USD