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"These are the proceedings of the International Conference on ISMAC-CVB, held in Palladam, India, in May 2018. The book focuses on research to design new analysis paradigms and computational solutions for quantification of information provided by object recognition, scene understanding of computer vision and different algorithms like convolutional neural networks to allow computers to recognize and detect objects in images with unprecedented accuracy and to even understand the relationships between them.The proceedings treat the convergence of ISMAC in Computational Vision and Bioengineering technology and includes ideas and techniques like 3D sensing, human visual perception, scene understanding, human motion detection and analysis, visualization and graphical data presentation and a very wide range of sensor modalities in terms of surveillance, wearable applications, home automation etc.ISMAC-CVB is a forum for leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of computational vision and bioengineering."

"Salah satu kemampuan robot yang canggih adalah mampu melakukan adaptasi pada lingkungan sekitarnya. Kemampuan ini merupakan analogi terhadap kemampuan manusia secara khusus. Namun, kebanyakan robot yang dibuat masih terbatas dalam hal interaksi secara sentuhan dengan lingkungan sekitarnya. Oleh karenanya diperlukan sistem sensasi non-kontak yang salah satunya adalah sensasi secara visual. Cara ini termasuk salah satu yang paling advance karena hampir semua proses manipulasi bisa dilakukan dengan hanya menggunakan sensor visual yaitu kamera walaupun computational cost-nya cukup tinggi. Single Board computer jenis BeagleBoard akan digunakan untuk melakukan komputasi sensasi visual yang meliputi face detection, stereo vision, dan bahkan lokalisasi nantinya. Wajah manusia yang akan dikenali oleh sistem computer visualnya akan di-tracking dan diukur jaraknya secara real time melalui teknik stereo vision. Koordinat yang didapat akan ditransformasikan dengan persamaan kinematik berupa invers jacobian menuju pusat robot untuk melakukan aktuasi pada aktuator vision dan navigasi robot secara keseluruhan sampai tujuan untuk melakukan interaksi dengan manusia tercapai. Berdasarkan pengujian yang telah dilakukan dapat dinyatakan bahwa sistem komputer vision yang telah dibangun cukup valid dan handal untuk jarak dibawah 100 cm walaupun dengan waktu komputasi yang cukup besar.

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One of the advance robot's ability is it can adapt into the around environment. This ability itself is the analogy of human's. But now, most of the robots still have limited in contact sensation. So, it's needed to build non-contact sensations and one of them is reached by build visual system. This way belong to one of advance method because almost of manipulation way can be dealed with this visual sensor like camera, even though the computational cost is high enough.

BeagleBoard, a kind of powerful Single Board computer, will be use to compute the visual sensation in this receptionist robot include face detection, stereo vision, and even localization later. The face of human that will be recognized by visual computer system will be tracked and the distant is calculated real time via stereo vision system. The coordinate that has been gathered will be transformed by invers jacobian into the center of robot to actuate visual actuation and doing robot navigation until receptionist robot is able to do interaction with human. Based on the result of experiment, it can be stated that the developed computer vision system is valid and reliable enough for distant below 100 cm even though spends high computational time."

"Latar belakang: Penggunaan komputer dapat menimbulkan suatu keluhan kesehatan yang disebut dengan Computer Vision Syndrome (CVS), Sindrom ini dapat dipengaruhi oleh berbagai faktor risiko individual, lingkungan dan komputer. Tujuan: Mengidentifikasi dan menganalisis faktor-faktor resiko ergonomik individual dan komputer yang berhubungan dengan kejadian Computer Vision Syndrome (CVS) pada pekerja pengguna komputer yang berkacamata dan pekerja yang tidak berkacamata. Metode: Penelitian ini merupakan penelitian metode kualitatatif. Penelitian dilakukan pada bulan April - Mei 2013 di Unit Pelakasana dan Pelatihan. Sampel sebanyak 18 orang dengan kriteria tertentu, dibagi menjadi 2 kelompok pekerja berkacamata dan pekerja yang tidak berkacamata. Peneliltian dilakukan dengan wawancara langsung menggunakan kuesioner dan pengukuran. Hasil: Faktor-faktor yang berhubungan dengan kejadian CVS adalah Kelembaban 71%, Pencahayaan kurang dari 300-500 lux (KEPMENKES nomor 1405/Menkes/SK/XI/2002), Usia lebih dari 40 tahun (das et al.), lama bekerja dengan komputer, dan jarak komputer dengan mata. Kesimpulan: Gejala ekstraokuler pada pekerja pengguna kacamata bifocal melakukan retrofleksi leher sehingga leher tertekuk kebelakang yang menyebabkan keluhan nyeri pada leher. Penderita terbanyak bukan dari pengguna kacamata tetapi pada pekerja yang tidak berkacamata. Serta penderita CVS (berdasarkan kriteria anamnesa) di usia 25 tahun, kedua hal ini berkaitan dengan potur ergonomi pada saat kerja baik secara design tempat kerja, kondisi ruangan ataupun durasi kerja yang semuanya saling berkaitan sehingga menimbulkan gejala Computer Vision Syndrome (CVS).

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Background: Computer usage could cause health complaints called Computer Vision Syndrome (CVS). This syndrome was influenced by individual and computer risk factors.

Aim: The objective of the study is to identify and to analyze individual and computer factors of computer Vision Syndrome (CVS).

Methods: This study was an observational study with methods qualitatively. The research was conducted in April-May 2013 in the Pelakasana and Training Unit. Sample of 18 people with certain criteria, divided into 2 groups of workers and workers who are not wearing glasses glasses. Peneliltian done by direct interviews using questionnaires and measurements.

Results: Factors associated with the incidence of CVS is Humidity 71%, less than the 300-500 lux lighting (KEPMENKES 1405/Menkes/SK/XI/2002), age over 40 years (das et al.), Long working computers, and computer distance by eye.

Conclusion: Extraocular symptoms in workers bifocal glasses users do retrofleksi neck so the neck is bent backwards which causes pain in the neck. Most patients but not from users goggles to workers who do not wear glasses. And people with CVS (based on criteria anamnesis) at the age of 25 years, these two things related to ergonomic posture at work both in design work, ambient conditions or duration of action that are all intertwined, giving rise to symptoms of Computer Vision Syndrome (CVS)."

"his special edited volume is a unique approach towards computational solution for the upcoming field of study called vision science. From a scientific firmament optics, ophthalmology, and optical science has surpassed an odyssey of optimizing configurations of optical systems, surveillance cameras and other nano optical devices with the metaphor of nano science and technology. "

""This book brings together various research methodologies and trends in emerging areas of application of computer vision and image processing for those interested in the research developments of this rapidly growing field"--"