VOXL CAM Fully Integrated Robot Perception System
VOXL CAM™ - Smarter Perception, Safer Navigation, all in one Small Package
VOXL CAM is a state-of-the art, fully integrated robot perception system. The VOXL CAM condenses the computing power of seven PCBs and four concurrent image sensors into one compact platform powered by Blue UAS Framework components, VOXL and Flight Core.
The VOXL CAM is designed so developers and robot builders can mount directly onto their drone or robot and accelerate their system's path to autonomy. It is designed, tested and assembled in the USA with many of its components built in the US as well.
VOXL CAM has been integrated with the ArduPilot team for GPS-denied UAS flight! Check out their demo video here
Ready to Use Development Tools
Perception: Four onboard image sensor concurrency
- Time of flight (ToF) for indoor depth mapping
- Stereo Pair Image Sensors for outdoor depth mapping
- Tracking Image Sensor for visual inertial odometery localization
- HiRes 4k Image Sensor
- Future versions will include more depth mapping capabilities and a FLIR camera
VOXL Compute onboard
- Integrated Qualcomm Snapdragon 821 premium tier chipset onboard: 4 cores up to 2.4 GHz, 14nm, 4GB LPDDR4 PoP 1866MHz
- VOXL SDK
- Open-source software: Open CV, ROS, Docker, PX4, ArduPilot
- GPS-denied navigation, depth mapping, object detection, obstacle avoidance, SLAM
Flight Core onboard
- PX4 & ArduPilot Flight Controller
- STM32H7 Performance
- Onboard 3x IMU and Barometer
Connectivity
- Optional 4G for cellular carrier-based networks
Modularity
- Small form factor, base configuration weighs 57.5g, 87g with flight controller and modem
- Enable perception for a breadth of different applications (robots, drones, IoT devices)
Technical Details
Configurations
VOXL CAM Core
- Weight: 57.5g
- Perfect for outdoor perception
- Optimized for computer vision
M0006 |
VOXL Web Link |
MDK-M0041-1-01 |
APMv3 Web Link |
MSU-M0014-1-01 |
Tracking image sensor OV7251 Web Link |
MSU-M0015-1-01 |
QTY. 2 Stereo image sensor OV7251 Web Link |
MSU-M0025-1-01 | HiRes Image Sensor |
VOXL CAM + TOF
- Weight: 57.5g
- Perfect for indoor perception
- Optimized for computer vision
M0006 |
VOXL Web Link |
MDK-M0041-1-B-01 |
APMv3 Web Link |
MSU-M0014-1-01 |
Tracking image sensor OV7251 Web Link |
MSU-M0015-1-01 |
QTY. 2 Stereo image sensor OV7251 Web Link |
MSU-M0040-1-01 |
VOXL Time of Flight (ToF) Sensor w/ Interposer Web Link |
VOXL CAM + TOF w/ Flight Controller
- Weight: 73g
- Perfect for indoor autonomous navigation
- SLAM navigation ready
- Built in PX4 compatible flight controller
- Everything included with VOXL CAM + TOF PLUS:
MDK-M0087-1-00 |
VOXL Flight Core |
MDK-M0078-2 |
VOXL USB Expansion Board with Fastboot and Emergency Boot |
VOXL CAM Core w/ Flight Controller
- Weight: 73g
- Perfect for outdoor autonomous navigation
- Built in PX4 compatible flight controller
- Everything included with VOXL CAM Core PLUS:
MDK-M0087-1-00 |
VOXL Flight Core |
MDK-M0078-2 |
VOXL USB Expansion Board with Fastboot and Emergency Boot |
VOXL CAM Core w/ Flight Controller and Modem
- Weight: 87g
- Perfect for outdoor autonomous navigation
- Built in PX4 compatible flight controller
- Built in Modem (options for North America and Europe)
- Everything included with VOXL CAM Core PLUS:
MDK-M0087-1-00 |
VOXL Flight Core |
MDK-M0030-1-03 | VOXL Cellular LTE and USB Hub Add On (North America) |
MDK-M0030-1-02 | VOXL Cellular LTE and USB Hub Add On (Europe) |
VOXL CAM + TOF w/ Flight Controller and Modem
- Weight: 87g
- Perfect for indoor autonomous navigation
- SLAM navigation ready
- Built in PX4 compatible flight controller
- Built in Modem (options for North America and Europe)
- Everything included with VOXL CAM + TOF PLUS:
MDK-M0087-1-00 |
VOXL Flight Core |
MDK-M0030-1-03 | VOXL Cellular LTE and USB Hub Add On (North America) |
MDK-M0030-1-02 | VOXL Cellular LTE and USB Hub Add On (Europe) |
Expandability
VOXL CAM is compatible with ModalAI's VOXL Cellular add-ons today and can connect directly to Flight Core for controlling a drone or robot. Future configurations will have even more capability.