DRON 3GO MICRO MAVERICK 2 VERDE

DRON 3GO MICRO MAVERICK 2 VERDE

The DRON 3GO MICRO MAVERICK 2 VERDE is a compact, high‑performance quadcopter designed for enthusiasts who value portability without compromising flight capabilities. Its lightweight construction and advanced electronics make it an ideal choice for indoor training sessions, outdoor recreational flying, or educational demonstrations.

Key Specifications

• Range (Alcance): 20–30 meters
• Maximum Operating Distance: 30 meters
• Flight Time (Autonomía): 5–7 minutes per charge
• Battery Capacity: 150 mAh, 4.2 V Li‑Po
• Dimensions: 80 mm × 80 mm (protected frame)
• Weight: Approximately 70 g (including battery)
• Channels: 4‑channel radio control
• Frequency Band: 2.4 GHz
• Motor Type: Brushless electric motors (four units)
• Stabilization: 6‑axis gyroscope
• LED Indicators: One green LED on the front, one blue LED on the rear
• Color Options: Green, Grey (standard)
• Package Condition: New, unopened, no defects, original packaging if available

Design and Build Quality

The drone’s chassis is engineered from lightweight yet durable composite material, providing a robust frame that can withstand minor impacts during training flights. The 80 mm × 80 mm protected dimensions ensure easy storage in small bags or backpacks, making it an excellent travel companion for hobbyists.

Each of the four motors is paired with a dedicated propeller, allowing precise thrust control and balanced flight dynamics. The integrated 6‑axis gyroscope delivers real‑time stabilization, automatically correcting pitch, roll, yaw, and altitude to keep the drone steady even in windy conditions or during rapid maneuvers.

Flight Performance

The DRON 3GO MICRO MAVERICK 2 VERDE offers a flight time of up to seven minutes on a single charge, which is impressive for its size and battery capacity. The quadcopter’s range of 20–30 meters allows pilots to practice advanced maneuvers while maintaining reliable signal integrity.

Control functions include:

• Forward, Backward
• Left Turn, Right Turn
• Ascend, Descend
• 360° Rotation (full yaw control)

The automatic adjustment feature ensures that the drone maintains a stable hover and compensates for external disturbances, making it suitable for beginners who are learning to manage throttle and directional inputs.

Control System

Equipped with a 4‑channel radio controller operating on the 2.4 GHz band, the drone offers reliable communication over its full range. The controller’s ergonomic design allows for intuitive handling, while the channel separation ensures that each axis of movement can be finely tuned.

LED Indicators and Visual Feedback

The front green LED serves as a power status indicator, lighting up when the drone is powered on or during flight. The rear blue LED provides visual confirmation of battery level or signal strength, offering pilots immediate feedback without needing to consult an external display.

Applications and Use Cases

• Training: Ideal for teaching basic quadcopter skills such as hovering, directional control, and rotation.
• Recreational Flying: Perfect for casual pilots who enjoy short flights in parks or open spaces.
• Educational Demonstrations: Useful in classrooms or workshops to illustrate principles of aerodynamics, electronics, and robotics.
• Indoor Use: Its compact size and low flight time make it safe for indoor practice sessions where space is limited.

Maintenance and Care

To preserve optimal performance, keep the battery in a cool, dry environment when not in use. After each flight session, inspect propellers for wear or damage and replace them if necessary. Store the drone in its original packaging or a protective case to prevent accidental scratches.

Conclusion

The DRON 3GO MICRO MAVERICK 2 VERDE stands out as a versatile, user‑friendly quadcopter that balances portability with robust flight capabilities. Its advanced stabilization system, reliable control range, and compact design make it an excellent choice for hobbyists, educators, and anyone looking to explore the world of drone technology without committing to larger, more complex models.