Abstract
In every country over the world, missing children and adults is a social problem. This problem affects both the relatives of the missing people and the community materially and morally. This article presents a new and original project developed to find a solution to this major social problem. There are three main parts of the project that are synchronized and interactive with each other. Each main part has its own sub-parts. In the first main part, there are units consisted of a robot working structure wandering around the outer world with a radio control (R/C) camera, solar power panel, and shock device unit. In the second main part, there is an interface program with implementations such as face recognition, short message service (SMS) sending, and warning programmed in the computer. In the third main part, there is a mobile phone and communication process on the robot transferring the information regarding the location. Finding the missing people is realized by synchronous communication of the robot and the interface implementation. As a result, an important study was carried out for the process of finding missing persons, which is a common and major social problem of the whole world.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Al-Kaff A, García F, Martín D, De La Escalera A, Armingol JM (2017) Obstacle detection and avoidance system based on monocular camera and size expansion algorithm for UAVs. Sensors 17:1061
Alvarez H, Paz LM, Sturm J, Cremers D (2016) Collision avoidance for quadrotors with a monocular camera. In: Experimental Robotics. Springer, pp. 195–209
Avuçlu E (2015) GPS ile konum tespitli gerçek zamanlı yüz tanıma robotu tasarımı. Selçuk Üniversitesi Fen Bilimleri Enstitüsü.
Balaban E, Narasimhan S, Daigle MJ, Roychoudhury I, Sweet A, Bond C, Gorospe G (2013) Development of a mobile robot test platform and methods for validation of prognostics-enabled decision making algorithms. Int J Prognos Goros Health Manag 4:1–19
Benabid S, Loïc L, Solène P, Mohamed J (2019) FPGA-based real-time embedded vision system for autonomous mobile robots. In: 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS), 1093–96. IEEE.
Benn W, Stanislao L (2012) Robot navigation control based on monocular images: an image processing algorithm for obstacle avoidance decisions. Math Prob Eng 2012.
Bhowmick S, Abhishek P, Jayanta M, Alok KD (2015) A novel floor segmentation algorithm for mobile robot navigation. In: 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 1–4. IEEE.
Chun C, Dongjin P, Wonjun K, Changick K (2013) Floor detection based depth estimation from a single indoor scene. In: 2013 IEEE International Conference on Image Processing, 3358–62. IEEE.
Daigle M, Roychoudhury I, Bregon A (2014) "Integrated diagnostics and prognostics for the electrical power system of a planetary rover. In: Annual Conference of the PHM Society, Citeseer
Dumble SJ, Gibbens PW (2012) Horizon profile detection for attitude determination. J Intell Rob Syst 68:339–357
Europe, Missing Children (2019) 116 000 Projects, Accessed 14.5.2019. https://missingchildreneurope.eu/116000projects.
Examiner, Big Data (2017) Understanding dimensionality reduction- principal component analysis and singular value decomposition. Accessed 2017. http://bigdataexaminer.com/data-science/understanding-dimensionality-reduction-principal-component-analysis-and-singular-value-decomposition/.
Hjelmås E, Low BK (2001) Face detection: a survey. Comput Vis Image Underst 83:236–274
Ikonomakis N, Plataniotis KN, Venetsanopoulos AN (2000) Color image segmentation for multimedia applications. J Intell Rob Syst 28:5–20
Kalogeiton VS, Ioannidis K, Sirakoulis GC, Kosmatopoulos EB (2019) Real-time active SLAM and obstacle avoidance for an autonomous robot based on stereo vision’. Cybern Syst 50:239–60
Kim S, Kim H (2010) Optimally overlapped ultrasonic sensor ring design for minimal positional uncertainty in obstacle detection. Int J Control Autom Syst 8:1280–1287
Konak ES (2006) Facial recognition system computer aided design. Master Thesis, Istanbul University', Institute of Sciences: 58
Lee JJ, Shinozuka M (2006) A vision-based system for remote sensing of bridge displacement. NDT and E Int 39:425–431
Li Y, Stanley TB (2010) Image-based segmentation of indoor corridor floors for a mobile robot. In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 837–43. IEEE.
Li S-A, Chou L-H, Chang T-H, Yang C-H, Chang Y-C (2019) Obstacle avoidance of mobile robot based on hyperomni vision. Sens Mater 31:1021–1036
Ling M, Wang J, Zhang B, Wang S (2010) Automatic floor segmentation for indoor robot navigation. In: 2010 2nd International Conference on Signal Processing Systems, V1–684-V1–89. IEEE.
Liu L-Q, Wang Z-X (2009) The development and application practice of wind–solar energy hybrid generation systems in China. Renew Sustain Energy Rev 13:1504–1512
Mane SB, Sharan V (2016) Real time obstacle detection for mobile robot navigation using stereo vision. In: 2016 International Conference on Computing, Analytics and Security Trends (CAST), 637–42. IEEE.
McGuire K, De Croon G, De Wagter C, Tuyls K, Kappen H (2017) Efficient optical flow and stereo vision for velocity estimation and obstacle avoidance on an autonomous pocket drone. IEEE Robot Automat Lett 2:1070–1076
Ritzmann RE, Quinn RD, Fischer MS (2004) Convergent evolution and locomotion through complex terrain by insects, vertebrates and robots. Arthropod Struct Dev 33:361–379
Siciliano B, Oussama K (2016) Springer handbook of robotics. Springer
Siegwart R, Illah RN, Davide S (2011) Introduction to autonomous mobile robots. MIT Press
Surmann H, Nüchter A, Hertzberg J (2003) An autonomous mobile robot with a 3D laser range finder for 3D exploration and digitalization of indoor environments. Robot Auton Syst 45:181–198
Sweet A, Gorospe G, Daigle M, Celaya JR, Balaban E, Roychoudhury I, Narasimhan S (2014) Demonstration of prognostics-enabled decision making algorithms on a hardware mobile robot test platform. SGT Inc., Moffett Field
Tang L, Hettler E, Zhang B, DeCastro J (2011) A testbed for real-time autonomous vehicle PHM and contingency management applications. Ann Conf PHM Soc 3:1–11
Turk M, Pentland A (1991) Eigenfaces for recognition. J Cogn Neurosci 3:71–86
Viola P, Jones MJ (2004) Robust real-time face detection. Int J Comput Vision 57:137–154
Yazar I, Yavuz HS, Çay MA (2009) Temel Bileşen Analizi Yönteminin Ve Bazı Klasik Ve Robust Uyarlamalarının Yüz Tanıma Uygulamaları. Eskişehir Osmangazi Univ Facul Eng J Archit 22:49–63
Zaitoun NM, Aqel MJ (2015) Survey on image segmentation techniques. Procedia Comput Sci 65:797–806
Zhang H, Wang X, Chen Y, Jiang G, Lin S (2019) Research on vision-based navigation for plant protection uav under the near color background. Symmetry 11:533
Zhou M (2014) Dimensionality reduction applications. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.691.7513&rep=rep1%26type=pdf. Accessed 12 Dec 2019
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Avuçlu, E., Başçiftçi, F. An interactive robot design to find missing people and inform their location by real-time face recognition system on moving images. J Ambient Intell Human Comput 13, 4385–4396 (2022). https://doi.org/10.1007/s12652-021-03352-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12652-021-03352-0