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Prometheus P450 Scientific Research & Teaching Drone - Open Source AI Orinnx SpireCV Industrial Programmable Development Platform DIY Drone Kit

Prometheus P450 Scientific Research & Teaching Drone - Open Source AI Orinnx SpireCV Industrial Programmable Development Platform DIY Drone Kit

RCDrone

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Overview

The Prometheus P450 Scientific Research & Teaching Drone is a comprehensive open-source development platform designed for academic and research applications. Built on the robust F450 frame, this quadrotor drone integrates cutting-edge hardware, including the NVIDIA Jetson Orin NX onboard computer with 100 TOPS computing power, Intel RealSense depth and tracking cameras, 2D LiDAR, and a high-capacity 5000mAh battery. Supporting advanced control modes, real-time visualization, and path planning with SpireCV vision algorithms and EGO-Planner, it offers versatility for indoor and outdoor high-precision applications. Additional features include autonomous obstacle avoidance, QR code tracking, and seamless integration with the Prometheus Ground Station system, making it a powerful tool for AI development, education, and UAV programming.

Key Features

  1. Robust Frame
    Built on the sturdy F450 quadrotor frame for reliable stability.

  2. High-Performance Computing
    Equipped with NVIDIA Jetson Orin NX delivering 100 TOPS of AI computing power.

  3. Advanced Sensors
    Includes Intel RealSense D435i and T265 cameras, 2D LiDAR, and optical flow modules.

  4. Precise Positioning
    RTK, GPS, and SLAM-enabled Viobot positioning for enhanced accuracy.

  5. Versatile Control Modes
    Supports 8 control modes, including position, speed, and trajectory tracking.

  6. Open-Source Platform
    Based on ROS with extensive secondary development interfaces.

  7. Integrated Ground Station
    Prometheus Ground Station for real-time monitoring, control, and visualization.

  8. Indoor/Outdoor Applications
    Designed for high-precision use in both indoor and outdoor environments.

  9. Powerful Battery
    High-capacity 5000mAh battery for extended operation.

  10. Expandable and Programmable
    Supports MATLAB Simulink and SpireCV SDK for custom algorithm development.

Specifications

Hardware Parameters

Drone Specifications

Category Details
Drone Type Quadrotor
Takeoff Weight (approx.) 2.044kg (including battery)
Diagonal Wheelbase 410mm
Dimensions Length: 290mm, Width: 290mm, Height: 240mm
Maximum Takeoff Weight 2.2kg
Hover Time Approx. 10 minutes
Hover Accuracy RTK positioning: Vertical ±0.15m, Horizontal ±0.1m
GPS Positioning Vertical ±0.5m, Horizontal ±0.8m
T265 Accuracy ±0.05m
Operating Temperature 6°C to 40°C

Onboard Computer - Allspark

Category Details
Name Allspark-Orin NX Onboard Computer
Model IA160_V1
Weight Approx. 188g
Dimensions 102.5mm × 62.5mm × 31mm (including fan)
Processor NVIDIA Jetson Orin NX
Memory 16GB LPDDR5
Compute Power 100 TOPS
GPU 32 Tensor Cores, 1024-core NVIDIA Ampere architecture GPU
CPU 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU (2MB L2 + 4MB L3 cache)
SSD 128GB (Built-in M.2 interface, expandable)
Ethernet 100Mbps x2 (One independent port, one switch port)
WiFi 2.4GHz

Onboard Computer - Viobot

Category Details
Name Viobot
Weight 94g
Dimensions 82mm × 75mm × 23mm
Processor RK3588
Memory 4GB
Compute Power Approx. 5 TOPS
Storage (eMMC) 16GB
Ethernet 1000Mbps (adaptive)
WiFi 2.4GHz

Power Battery

Category Details
Dimensions 130mm × 65mm × 40mm
Weight 470g
Charging Cutoff Voltage 16.8V
Nominal Voltage 14.8V
Rated Capacity 5000mAh

Remote Controller

Category Details
Model AMOVLAB QE-2
Operating Voltage 4.5V - 9V
Channels 8
Transmission Power <20dBm
Weight 410g
Dimensions 179mm × 81mm × 161mm

Communication Link

Category Details
Model Mini Homer
Frequency Sub 1G band
Operating Voltage 12V
Transmission Distance 1200m
Bandwidth 7MHz

Charger

Category Details
Input Voltage DC 9V - 12V
Maximum Output Power 25W
Maximum Output Current 1500mA
Display Precision ±10mV
Dimensions 81mm × 50mm × 20mm
Weight 76g

Depth Camera

Category Details
Model Intel® RealSense™ Depth Camera D435i
Depth Technology Active Stereo IR
Depth Imaging Technology Global Shutter
Depth FOV (HxV) 86°×57° (±3°)
Depth Resolution & FPS 1280x720, 90 FPS (maximum)
RGB Imaging Technology Rolling Shutter
RGB Resolution & FPS 1920x1080, 30 FPS (maximum)
RGB FOV (HxV) 69°×42° (±1°)
Minimum Depth Distance 0.105m
Maximum Range Approx. 10m
Dimensions Length: 90mm, Width: 25mm, Height: 25mm
Weight 72g

Stereo Camera

Category Details
Model Intel® RealSense™ Tracking Camera T265
Depth Sensor Dual Cameras (Left & Right)
Depth Resolution 848x800
Depth Range 0.2m~5m
Camera Resolution 800x848 (per camera)
Frame Rate 30 FPS
Image Format Y8
Data Interface USB 3.1 Gen 1 Type-C
Weight 55g
Dimensions Length: 108mm, Width: 25mm, Height: 13mm

Optical Flow Module

Category Details
Weight 5.0g
Dimensions 29mm × 16.5mm × 15mm
Measurement Range 0.01m - 8m
Horizontal FOV
Vertical FOV 42°
Power 500mW
Operating Voltage 4.0V - 5.5V
Effective Working Distance >80mm
Output Interface UART

LiDAR Sensor

Category Details
Model S3M1-R2 LiDAR Sensor
Application Scenarios Suitable for indoor and outdoor environments, reliable anti-sunlight capability (≥80Klux)
Measurement Range White objects: 0.05m~40m (70% reflectivity)
Black objects: 0.05m~15m (10% reflectivity)
Black objects: 0.05m~5m (2% reflectivity)
Angular Accuracy 0° ~ 1.5°
Sampling Frequency 32kHz
Scanning Frequency Typical: 10Hz, 10~20Hz
Angular Resolution Typical: 0.1125°, 0.1125°~0.225°
Communication Interface TTL UART
Transmission Rate 1M
Range Accuracy ±30mm
Distance Resolution 10mm
Power Supply Voltage 5V
Weight Approx. 115g
Operating Temperature 10°C ~ 40°C

 

Software Parameters

Onboard Computer

Category Details
Model Jetson Orin NX
Cuda Version 11.4.315
Operating System Ubuntu 20.04
Realsense SDK 2.50.0
Username amov
ROS Version noetic
Password amov
OpenCV Version 4.7.0
L4T Version 35.2.1
Realsense ROS Version 2.3.2
Jetpack Version 5.1

Prometheus Software

Category Details
Version v2.0

Prometheus Ground Station System

Category Details
Version v1.24.01.08 (based on official Wiki records)

 

Packing List

Name Model Quantity/Unit
Frame MFP_V1 1
Flight Controller Pixhawk 6C 1
Remote Controller Amovlab QE-2 1
Communication Module Mini Homer 2 pairs
Power Distribution Board / 1
ESC 4-in-1 ESC 1
Optical Flow Module MTF-01 1
Motor 2312 960kv 4
Propellers 10-inch 2 pairs
Onboard Computer Allspark Orin NX 1
Stereo Depth Camera Intel D435i 1
Stereo Depth Camera Intel T265 1
LiDAR S3M1-R2 1
Battery FB45 4S 5000mAh 1
GPS Module M8N GPS 1
RTK Module Antenna RTK 1
GNSS Antenna Cable GNSS Antenna Cable 1
Charger PD60 1
Network Cable 1.5m 1
Safety Rope 50m 1
Data Cable Type A to Type C 2
Certificate / 1 sheet

 

Notes:

We also provide Viobot onboard computer models. For details, please contact customer service.

Package Name config 2 config 3
Model Name P450_Viobot P450_RTK_Allspark2_T265_S3_D435i
Usage Scenarios Indoor: √ Outdoor: √ Indoor: √ Outdoor: √
Flight Platform F450 F450
Onboard Computer Viobot: √ Allspark2: × Viobot: × Allspark2: √
Positioning Methods RTK: × GPS: √ RTK: √ GPS: √
Depth Camera T265: × D435i: × T265: √ D435i: √
LiDAR S3M1-R2: × S3M1-R2: √
Recommended Use Indoor and outdoor control use Indoor and outdoor high-precision use
Features UAV control applications UAV control applications, visual tracking, visual obstacle avoidance, RTAB-Map building, Octomap building, LiDAR obstacle avoidance

 

Details

Prometheus 450 Research Drone Development Platform

F450 Frame

  • Sturdy and reliable structure with high stability.

Powerful Computing

  • Provides up to 100 TOPS of floating-point computational power.

Integrated Image Transmission and Control

  • Combines controller signals into an integrated image transmission module, achieving a transmission distance of up to 1 km.

Prometheus 450 (shortened as P450) is a medium-sized quadcopter designed for both indoor and outdoor applications. Based on the F450 platform, it integrates a 2D LiDAR, stereo depth cameras, and other advanced sensors. It comes with SpireCV visual algorithms and the Prometheus autonomous drone system to achieve target tracking and path planning.

With the addition of EGO-Planner route planning and Prometheus’s professional ground station capabilities, it supports real-time visualization, streamlined operations, and rapid deployment.

An autonomous vehicle based on the F450 platform, integrating 2D LiDAR, stereo depth cameras, and other advanced sensors.

Drone Control Application

The drone control module acts as a "bridge" between software algorithms and drones, providing initial position hold, waypoint hold, descent, movement, and other control states. It includes six sub-control modes for position, speed, and position-speed hybrid control in an inertial and body frame, along with trajectory tracking and spiral control modes, making up a total of eight control modes.

Open-source platform based on ROS with extensive secondary development interfaces.

Indoor/Outdoor QR Code Point Tracking (SpireCV Vision Library)

Utilizes the SpireCV vision library for QR code recognition programs and integrates with the Prometheus control interface. Paired with the professional ground station, it achieves indoor and outdoor QR code point tracking functionality.

The operation supports one-click takeoff, landing, and position control.

Indoor/Outdoor General Target Point Tracking (SpireCV Vision Library)

Utilizes the SpireCV vision library to detect general targets in single-frame images and integrates with the Prometheus control interface. Combined with the professional ground station, it enables indoor and outdoor general target point tracking functionality. Different vision models can be trained as required to perform this function.

Indoor/Outdoor EGO-Planner

Supports different hardware inputs, such as depth cameras or 2D LiDARs. Integrates the EGO-Planner path planning algorithm to achieve obstacle avoidance and provides the Octomap mapping algorithm. Combined with the professional ground station, it enables autonomous path planning.

Ground station for real-time monitoring, control, and visualization.

Prometheus V2 Software System

The development platform is built on the ROS and Prometheus open-source framework, featuring rich functions and built-in capabilities. It provides abundant secondary development interfaces for efficient development. It supports data inputs like positional information, flight modes, battery status, IMU, and drone state detection sensors, offering data for position, speed, acceleration, and posture control. It also includes examples for secondary development interfaces.

Additionally, the system is equipped with safety features for autonomous descent and obstacle avoidance during emergencies, reducing risks and ensuring safer operations.


SpireCV Vision Library

The SpireCV vision library is a specialized SDK designed for intelligent vision systems. Its primary features include drone/camera control, video storage, pushing, target tracking, recognition, and tracking. It provides developers of intelligent drone systems with high efficiency, precision, and seamless interfaces.

This model specifically supports YOLO-based point tracking and obstacle avoidance functionalities.

The Prometheus P450 drone features advanced technologies and supports various programming languages and platforms.

Prometheus Ground Station System

The Prometheus ground station is an interactive interface for drones, developed using Qt and based on the Prometheus system. The ground station uses TCP/UDP communication, avoiding the complex configurations of ROS1 multi-machine communication.

This ground station allows users to quickly replicate various functions of the Prometheus system, enabling real-time monitoring of drone status. It also supports operations such as one-click takeoff, landing, and position control.

The Prometheus P450 drone features a high-definition camera, obstacle avoidance, and advanced stabilization, ideal for surveying, mapping, and data collection.

Matlab Toolbox (Optional)

The Matlab toolbox is one of the submodules of the Prometheus project. This module provides multiple example programs for UAV control algorithms using Simulink. Through the Matlab ROS Toolbox, it establishes a communication link between Matlab (Simulink) and ROS.

It is mainly used for the design, testing, and secondary development of UAV control algorithms and swarm control algorithms, as well as controller designs. It supports secondary development using Matlab/Simulink programs and interfaces. It enables real-time simulation and experiments (without needing to download programs to the drone), offering abundant example algorithms.

The Prometheus P450 drone features a robust design for reliable flight, equipped with sensors and cameras for environmental monitoring, inspection, and research.

Viobot Positioning Module

(Applicable to P450 Viobot models)

Viobot utilizes the domestic RK3588 chip from Rockchip, equipped with 6 TOPS of computing power and 70% residual performance. Viobot offers higher openness, allowing direct access to its IMU data to run custom SLAM algorithms. Its positioning performance is stable, sufficiently open, and can be considered a good domestic alternative to the T265, meeting the localization needs of customers.

EGO-Planner and Prometheus enable real-time visualization, streamlined ops, and rapid deployment with combined route planning and ground station capabilities.

 

 

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