GPS Denied Navigation Visio

  • GPS Denied Navigation: A complete indoor/outdoor navigation solution supporting flight from 0-120m without GPS, featuring auto-return for enhanced safety.

  • Visual-Inertial Odometry: Advanced visual inertial odometry enables high-precision drone navigation in any environment, including GPS-denied areas.

  • Ultra-Lightweight Design: At just 44g, redefines the boundaries of lightweight autonomous flight.

$399.00

Out of stock

DIMENSIONS

Height (mm)

22

Width (mm)

40

Length (mm)

85

Weight

44g

Flight Altitude

0-120m

Navigation Accuracy

1%-2%

Output Protocol

MAVLink2

Operating Environment

Suitable for situations, except at night

PRODUCT DETAILS

Max Flight Speed

15m/s

Output Frequency

25Hz

Supported Flight Controllers

APM/PX4

Input Voltage

3S-4S

Communication Interface

UART

Power Consumption

9 W

Fly Anywhere, No GPS Needed

Even in the absence of GPS signal coverage, the device can still deliver precise navigation and stable flight throughout the entire journey.

Precise Visual Navigation

Based on a pure vision-based high-precision navigation solution, it enables all-terrain autonomous flight even in GPS-denied environments. Equipped with an intelligent route memory function, it can automatically and accurately return to the starting point upon mission completion.

 

Supported Platforms

Compatible with multi-rotor drones and fixed-wing drones.

Highly Compatible

Easy installation, plug-and-play, compatible with all flight controllers, and seamless integration with PX4/ArduPilot platforms.

Customer Reviews

FAQ

1. Q: What navigation technology does the Visio system use?
A: The Visio system is based on visual-inertial odometry (VIO), combining camera data with IMU measurements to provide real-time position estimation and navigation without relying on GNSS signals.


2. Q: Can the Visio operate completely without GPS signals?
A: Yes. The system is specifically designed for GPS-denied environments and can maintain stable flight and navigation using vision-based positioning, enabling operation in indoor, underground, or signal-blocked outdoor scenarios.


3. Q: What is the supported flight altitude and performance range?
A: The Visio supports autonomous flight within an altitude range of approximately 0–120 meters, maintaining stable navigation and control across a wide range of operating environments.


4. Q: Does the system support autonomous return or route memory?
A: Yes. The Visio includes an intelligent route memory function that enables the drone to automatically return to its starting point after completing a mission, improving operational safety and reliability.


5. Q: What communication protocols and interfaces are supported?
A: The system supports MAVLink2 protocol and uses a UART interface, allowing seamless integration with mainstream flight controllers and easy communication with onboard systems.


6. Q: Is the Visio compatible with common flight control platforms?
A: Yes. The Visio is compatible with widely used flight control systems such as PX4 and APM, enabling plug-and-play integration into existing UAV platforms.


7. Q: What are the advantages of visual navigation compared to GNSS?
A: Visual navigation enables reliable positioning in environments where GNSS signals are unavailable or unstable, such as urban canyons, indoor spaces, or areas with signal interference, providing continuous navigation capability without reliance on external infrastructure.


8. Q: What applications is the Visio best suited for?
A: The Visio is ideal for applications such as indoor inspection, underground exploration, security monitoring, emergency rescue, and autonomous drone operations in GPS-denied or complex environments.

Applications

Subsurface Inspection

Mountain Agriculture

Security Monitoring

Emergency Rescue

Weight 0.087 kg

Reviews

There are no reviews yet.

Be the first to review “GPS Denied Navigation Visio”

Your email address will not be published. Required fields are marked *


Contact us

TEL: +8618926195421

Huangmei Road, Huangge Town, Nansha District, Guangzhou City, Guangdong Province, China 

Email:[email protected]