Instrument Detection v.2

Object Detection

Instrument Detection v.2 Computer Vision Project

Instrument Detection

Updated 3 years ago

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12

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Classes (37)
0: airspeed indicator
10: fuel indicator
11: fuel flow indicator
12: oil temperature and pressur indicator
13: suction gauge and amperemeter
14: magnetic compas
15: rmi
16: hsi
17: clock
19: wf
1: attitude indicator
22: cht
23: suction gauge
24: amperemeter
25: oil temperature
26: oil pressure
27: motor
2: altimeter
3: slip indicator
3: turn and slip indicator
4: heading indicator
5: variometer
6: tachometer
7: vor
8: adf
9: digital clock
AMP meter
Auto Pilot
Betriebsstundenzähler
Com
DME
EGT
Instrument
NavCom
RPM
XPDR
adf empfänger

Description

Here are a few use cases for this project:

  1. Flight Simulation Games: Developers can integrate this model into flight simulation games to improve realism and gameplay. The detection system would identify and simulate the function of each instrument accurately as per user interaction.

  2. Pilot Training Programs: The model can be used in virtual reality-based pilot training applications which can help aspiring pilots to learn and familiarize themselves with different control panel instruments without having an actual aircraft.

  3. Aviation Safety Programs: Use this model to check and confirm whether all necessary instruments are correctly displayed and functioning in airplane control panels - crucial for pre-flight safety checks and automated routine maintenance.

  4. Fault Detection System: This model can be utilized to detect faulty or malfunctioning instruments in a cockpit by automatically identifying changes or anomalies in the indicators.

  5. Aircraft Manufacturing: During production and assembly phases, manufacturers could use the model to verify the correct installation and positioning of instruments in the cockpit.

Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            instrument-detection--v.2_dataset,
                            title = { Instrument Detection  v.2 Dataset },
                            type = { Open Source Dataset },
                            author = { Instrument Detection },
                            howpublished = { \url{ https://universe.roboflow.com/instrument-detection/instrument-detection--v.2 } },
                            url = { https://universe.roboflow.com/instrument-detection/instrument-detection--v.2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2025-06-20 },
                            }
                        
                    

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