In the development of equipment to be used in the remote sensing environment, it is recommended to consider in the design certain technical aspects such as: energy consumption, device size, performance, computational capacity, connectivity, radiation tolerance, among others. Therefore, certain electronic components capable of providing these characteristics are used, which makes their cost high and it becomes difficult to acquire these electronic components for special use. The proposal presented in this investigation, is the use of the embedded card tetra TK1 of the NVIDIA brand, to be used as a base device for remote sensing equipment. This card provides considerable computational capacity. This card is composed of a CPU and the GPU, as well as communication buses and the communication card expansion to connect certain devices such as sensors and actuators. Another feature is fault tolerance and critical execution times that are critical in these types of equipment, among the main tasks, are the sending of telemetry, control of navigation devices, and synchronization among other tasks that will depend on the payload of the equipment. As a result, it is proposed to install a real-time operating system on the TK1 card, which ensures that the tasks are fulfilled in the established times and with the criticality that is required.

1.
J.
Yang
,
Y.
Xie
and
T.
Chen
, “
Research on Web Server Application on Multi-core Embedded System
,”
2009 International Conference on Embedded Software and Systems
,
2009
, pp.
412
416
, doi: .
2.
D.
Peng
,
H.
Zhang
,
H.
Li
and
F.
Xia
, “
Development of the Communication Protocol Conversion Equipment Based on Embedded Multi-MCU and Mu-C/OS-II
,”
2010 International Conference on Measuring Technology and Mechatronics Automation
,
2010
, pp.
15
18
, doi: .
3.
Yu-Chuan
Su
, “
Design of an intelligent equipment engineering system using in the semiconductor and optoelectronics industries
,”
2010 5th IEEE Conference on Industrial Electronics and Applications
,
2010
, pp.
1405
1410
, doi: .
4.
Q.
Lin
 et al., “
A lightweight edge computing platform designed on embeded system
,”
2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP
),
2019
, pp.
1
4
, doi: .
5.
H.
Li
and
D. C.
Liu
, “
An Embedded High Performance Ultrasonic Signal Processing Subsystem
,”
2009 International Conference on Embedded Software and Systems
,
2009
, pp.
125
130
, doi: .
6.
Yu-Chuan
Su
, “
Embedded system framework design for data collection and analysis in the semiconductor and optoelectronic industries
,”
2009 4th IEEE Conference on Industrial Electronics and Applications
,
2009
, pp.
76
81
, doi: .
7.
Y.
Chen
,
J.
Nie
,
M.
Chen
and
D.
Zhang
, “
Biosorptional Removal of Lead and Cadmium from Water by Waste Materials
,”
2009 International Conference on Management and Service Science
,
2009
, pp.
1
4
, doi: .
8.
Y.
Chen
and
L.
Chai
, “
Comparison for Adsorption Modeling of Heavy Metals (Cd, Pb, Cu, Zn) from Aqueous Solution by Bio-Formulation
,”
2008 2nd International Conference on Bioinformatics and Biomedical Engineering
,
2008
, pp.
3248
3251
, doi: .
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