Banner Áquila

Prévia do material em texto

Prototype validation confirmed successful data transmission and
video range over 1 km.
Environmental sensors demonstrated responsiveness and
accuracy comparable to real meteorological data.
Tests also showed the CanSat’s ability to detect CO₂ and tVOC
spikes during combustion, validating real-time sensing.
Computer vision tests at the ground station using YOLOv11 and
MiDaS enabled object detection, depth estimation, and green-area
analysis, integrating machine learning into environmental sensing.
The project followed the NASA Systems Engineering Handbook
(2017) framework:
1.Requirements definition (LASC 2025 rules and Tau Rocket Team
vehicle constraints).
2.System modeling through ConOps, FSM, and Functional Block
Diagrams.
3.Subsystem development (electronics, power, communication,
and structure).
4.Prototyping and validation.
Subsystems developed:
DATB: environmental and gas sensors (BME280, CCS811) with
LoRa transmission.
IATB: FPV camera (Caddx Ant Nano) and video transmitter
(Eachine TX805).
UHI: OLED display, SD card, control buttons, CP2102 interface.
MB: ESP32-WROOM-32U microcontroller.
PMB: 3S Li-ion battery pack with buck converter and RBF safety
system.
INTRODUCTION
COBEM 2025
9th - 14th November 2025
CURITIBA | PR | BRAZIL
28th International Congress of Mechanical
Engineering
A CanSat is a miniaturized educational satellite that simulates the
main functions of an orbital satellite within a soda can volume.
The Áquila CanSat, developed by the Tau Rocket Team (UFSM) for
the Latin American Space Challenge (LASC), integrates into a 500 m
apogee rocket and performs environmental monitoring using
onboard sensors and a real-time FPV video system.
The project aims to:
Collect and transmit environmental data (temperature,
humidity, pressure, CO₂, tVOC).
Send real-time analog video to the ground station.
Operate autonomously for over 4 hours using a modular
architecture.
Carls Roberto Bearzi¹, Andrew Santos Machado, Cesar Addis Valverde Salvador, Êmily Bruning, João Pedro Cordeiro Reis, Lucas Gonçalves
Teles, Pedro Henrique Justen, Sidney Monteiro Jr.
¹Federal University of Santa Maria (UFSM), Santa Maria, RS, Brazil, carlos.bearzi@acad.ufsm.br
Design and Development of the Áquila CanSat: Modular System for
Environmental Monitoring and Remote Sensing
METHODOLOGY
RESULTS AND DISCUSSION
CONCLUSIONS
The Áquila CanSat represents a successful demonstration of a low-
cost, modular, and autonomous platform for atmospheric
monitoring and real-time FPV imaging. Designed in full compliance
with the LASC 2025 requirements, the system integrates hardware,
software, and artificial intelligence–based vision to perform
environmental sensing and image processing tasks efficiently.
Future developments will focus on PCB manufacturing, structural
assembly, and in-flight validation to verify performance under
operational conditions. Overall, the project reinforces UFSM’s
commitment to advancing academic research in aerospace
systems and promoting innovation in rocketry and space
engineering.
REFERENCES
1.NASA (2017). Systems Engineering Handbook.
2.Redmon et al. (2016). YOLO: Real-time Object Detection.
3.UNISEC (2018). Guidebook for Building a Successful CanSat Project.
4.USINAINFO (2024). Electronic components supplier.Figure 1. System interface map showing power
and data connections between CanSat
subsystems.
Figure 2. Environmental sensor data
visualization during a burn test, compared
with iPhone forecast values. 
Figure 3. Output of the onboard
computer vision system with YOLO
and MiDaS integration at the
groundstation.