La problématique de l’observance de la biosécurité est présente dans tous les types de production. Il est essentiel de définir des stratégies pour améliorer l’application des mesures de biosécurité. Cette étude décrit l’application des mesures de biosécurité à l’entrée et à la sortie de 24 bâtiments d’élevages avicoles au Québec, Canada. L’effet des audits et de caméras visibles sur l’observance a été étudié, de même que les déterminants de l’observance. De plus, la relation entre l’observance et les profils de personnalité, l’expérience et l’éducation a été décrite. L’application des mesures de biosécurité a été évaluée à l’aide de caméras cachées. L’observance à court terme (deux premières semaines) et à moyen terme (six mois plus tard) a été déterminée. Basés sur les résultats du groupe contrôle, 44 différentes erreurs lors de l’application des mesures de biosécurité ont été observées à l’entrée et la sortie des bâtiments. La plupart étaient reliées à la délimitation des zones (propre versus contaminée). La nature et la fréquence des erreurs suggèrent un manque de compréhension des principes associés aux mesures de biosécurité. Le visionnement des vidéos a révélé 3055 visites par 277 individus différents (136 employés, 123 visiteurs, 3 superviseurs et 15 éleveurs). Les résultats ont démontré que les audits n’avaient pas d’impact sur l’observance des employés. Les caméras visibles ont eu un impact, à court terme, sur le port de bottes et le respect des zones durant la visite. Par contre, six mois plus tard, l’observance avait significativement diminué, au point de ne plus être statistiquement plus élevée que le groupe contrôle. La durée et le moment de la visite, la présence de l’éleveur ou d’un observateur, la conception de l’entrée, le nombre de bâtiments, le nombre de mesures de biosécurité exigé, le type de bottes, le genre et être membre de la famille de l’éleveur étaient significativement associés à l’observance de certaines mesures. Finalement, trois traits de la personnalité étaient associés à l’observance: responsabilité, orienté vers l’action et complexité, de même que le nombre d’années d’expérience et le niveau d’éducation. Il est nécessaire d’améliorer la formation en matière de biosécurité en fournissant du matériel de formation à tous les intervenants qui démontrent pourquoi et comment appliquer les mesures de biosécurité. La formation continue devrait également aborder les problématiques reliées aux caractéristiques de visites et de fermes. Améliorer la conception des entrées de bâtiments devrait contribuer à augmenter et à maintenir l’observance. L’identification de traits de personnalité associés à l’observance peut avoir des implications sur la sélection des candidats à l’embauche ou sur l’attribution de tâches et sur la planification des programmes de formation. / Biosecurity compliance issue is present in all types of animal productions, Therefore, it is essential to define strategies to improve the implementation of biosecurity measures. This study described the application of biosecurity measures when entering and exiting 24 poultry barns in Québec, Canada. The effect of audits and visible cameras on compliance was investigated, as well as determinants of compliance. Also, the relationship between compliance and personality profiles, experience and education has been described. Application of biosecurity measures was evaluated using hidden cameras. Short term (first two weeks) and medium term (six months later) compliance were determined. Based on the control group, 44 different biosecurity breaches were observed when getting in and out of poultry barns. Most were related to area delimitation (clean versus contaminated). The nature and frequency of errors suggest a lack of understanding of biosecurity principles. Overall, video viewing revealed 3055 visits done by 277 different individuals (136 employees, 123 visitors, 3 supervisors and 15 growers). Results showed that audits did not have any impact on employee compliance. Visible cameras had a significant impact on changing boots and respecting areas during the visit for the short term period. However, six months later, compliance significantly declined and was no longer statistically higher compared to the control group. Duration and moment of the visit, presence of the grower or an observer, barn entrance design, number of barns, number of biosecurity measures requested, type of boots, gender and being a member of a grower’s family were significantly associated with compliance with some biosecurity measures. Finally, three personality traits were significantly associated with compliance: responsibility, action-oriented and complexity, as well as the number of years of experience and the level of education. There is a need to improve biosecurity training by making training material available to all poultry personnel demonstrating why and how to apply biosecurity measures. Educational meetings should also address issues related to visit and farm characteristics. Improving barn entrance design should contribute to enhance and maintain compliance. The identification of personality traits associated with compliance may have implications for the selection of job applicants or task attribution, and for developing educational materials and training programs.

The surveillance cameras serve various purposes ranging from security to traffic monitoring and marketing. However, with the increasing quantity of utilized cameras, manual video monitoring has become too laborious. In re- cent years, a lot of development in artificial intelligence has been focused on processing the video data automatically and then outputting the desired no- tifications and statistics. This thesis studies the state-of-the-art deep learning models for object detection in a surveillance video and takes an in-depth look at SSD architecture. We aim to enhance the performance of SSD by updating its underlying feature extraction network. We propose to replace the initially used VGG model by a selection of modern ResNet, Xception and NASNet classifica- tion networks. The experiments show that the ResNet50 model offers the best trade-off between speed and precision, while significantly outperforming VGG. With a series of modifications, we improved the Xception model to match the ResNet performance. On top of the architecture-based improvements, we ana- lyze the relationship between SSD and a number of detected classes and their selection. We also designed and implemented a new detector with the use of temporal context provided by the video frames. This detector delivers enhanced precision while...

Given the stress involved in caring for elders, the propensity for abuse among the older adult population continues to be a problem, as the number of caregivers providing care in the home is increasing to meet the demand of an increasing population of older adults. One solution is to implement video surveillance in the home. The purpose of this phenomenological, retrospective and prospective study was to describe the perceptions and experiences of caregivers that affect stress in the home care setting and to describe participants' perceptions about the impact of video surveillance in the home environment on caregiver stress and elder abuse. Using a lens of critical ecological framework and privacy theory, the research questions inquired about the specific experiences of stress and the perceptions of the use of home surveillance of caregivers in the home. A sample of 9 older adult home caregivers were recruited from the United Jewish Council of the East Side Home Attendant Service Corp. Findings revealed that increased family, community, and agency involvement and support may offset the feelings of isolation of the home care environment and ensure the caregiver is given opportunities to engage in strategies designed to help cope with the inherent stressors of the job. In addition, video camera surveillance in the home care setting may provide social support through observation of the situation in the home, supporting both social control on the behavior of the caregiver and direct evidence of quality of care for the caregiver. The findings of the study help to highlight effective intervention strategies based on the specific stressors and stress relievers identified, serving to reduce the potential for older adult abuse and neglect in the home care setting.

本研究透過監視器在電視新聞發展歷程中的特殊性和新聞價值，以及監視器新聞的緣起和發展，結合電視新聞的相關理論和實證研究了解監視器影像和電視新聞媒體媒合以後，電視監視器新聞的敘事方式和其所再現的社會景觀以及社會文化意涵。 透過內容分析法，本研究發現，多數監視器新聞以目擊事件現場為「賣點」，呈現對犯罪事件和特殊奇觀的現場感，然而也有不少新聞在監視器鏡頭外，用特殊的剪輯和運鏡技巧或是帶有情緒性的口語配音進行後製，加深觀眾的「共感氛圍」。在「求真」之外，也追求在視聽訊息上的感官化，並透過選擇新聞題材以及後製加工帶給觀眾強大的視覺衝擊力和感染力。 監視器新聞主題中以暴力和犯罪為主，其次則為奇觀新聞。以感官化的手法呈現與社會安全相關的主題，以犯罪暴力為主題的監視器新聞人物，大多為社會上的邊緣團體，且多發生在都市區；奇觀新聞則以一般民眾為主，背景大多為非都市區；監視器新聞以一般市井小民為主要報導對象，公眾人物在監視器新聞裡十分罕見。監視器新聞再現的時空，突破新聞記者採訪佈線「時空」的限制。 監視器新聞的畫面來源和主要受訪者皆為警方，且多為採用「單面報導」的方式，也就是說，警方掌握監視器畫面以及享有對監視器畫面的主要詮釋權，顯示了公共攝影的社會控制和詮釋的不對等關係。在監視器新聞主題中也看到了符合社會奇觀的主題，「記錄不容錯過的精彩生活片段」似乎成了監視器在社會中扮演的另類角色。 當監視器與電視新聞媒合以後，電視新聞觀眾面對的是更多重、更奪目的真實形式。這些影像以「軟性化」或「衝突性」題材為主，而不是以訴諸理性或是傳達資訊的方式。監視器新聞帶出了公共危險的社會意象，對於邊緣團體化約、淺碟化的敘述，可能加深觀眾對於邊緣團體的刻板印象。整體而言，監視器新聞是一種去脈絡化的敘事形式，透過後製的音效和影像編輯，呈現緊張、懸疑和驚聳的氣氛，因此，監視器新聞所再現的都市空間形象是危險的、充滿不確定性的，為一種高社會犯罪率的隱喻。

Within the past thirty years, privacy concerns among American citizens are rising with counter-terrorist surveillance going beyond targeting people of interest. These concerns are reflected in American cinema where many contemporary films have explored surveillance in society. The textual analyses presented in the thesis will focus on three such films, Strange Days (1995), Southland Tales (2005), and Nightcrawler (2014). Throughout this thesis, I examine how each of these films offers a unique, reflexive take on surveillance, adhering to generative mechanisms that evoke differing attitudes about surveillance through their form. My analysis draws on Laura Mulvey and Patricia Pisters’ theories on the gaze to understand the politics of looking in contemporary surveillance cinema and highlight how cinematic scopophilia evolved into a networked perspective. My analysis suggests that the politics of surveillance cinema is reflected in these films as their differences mirror the changing perception of surveillance and the gaze over time. / Includes bibliography. / Thesis (M.A.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection

Cette thèse s’inscrit dans le contexte de l’analyse vidéo du trafic routier. Dans certaines grandes villes, des centaines de caméras produisent de très grandes quantités de données, impossible à manipuler sans traitement automatique. Notre principal objectif est d'aider les opérateurs humains en analysant automatiquement les données vidéo. Pour aider les contrôleurs de la circulation à prendre leurs décisions, il est important de connaître en temps réel, l'état du trafic (nombre de véhicules et vitesse des véhicules sur chaque segment de voie), mais aussi de disposer de statistiques temporelles tout au long de la journée, de la semaine, de la saison ou de l'année. Les caméras ont été déployées depuis longtemps pour le trafic et pour d'autres fins de surveillance, car elles fournissent une source d'information riche pour la compréhension humaine. L'analyse vidéo peut désormais apporter une valeur ajoutée aux caméras en extrayant automatiquement des informations pertinentes. De cette façon, la vision par ordinateur et l'analyse vidéo deviennent de plus en plus importantes pour les systèmes de transport intelligents (intelligent transport systems : ITSs). L’une des problématiques abordées dans cette thèse est liée au comptage automatique de véhicules. Pour être utile, un système de surveillance vidéo doit être entièrement automatique et capable de fournir, en temps réel, l'information qui concerne le comportement de l'objet dans la scène. Nous pouvons obtenir ces renseignements sur la détection et le suivi des objets en mouvement dans les vidéos, ce qui a été un domaine largement étudié. Néanmoins, la plupart des systèmes d'analyse automatique par vidéo ont des difficultés à gérer les situations particulières. Aujourd'hui, il existe de nombreux défis à résoudre tels que les occultations entre les différents objets, les arrêts longs, les changements de luminosité, etc… qui conduisent à des trajectoires incomplètes. Dans la chaîne de traitements que nous proposons, nous nous sommes concentrés sur l'extraction automatique de statistiques globales dans les scènes de vidéosurveillance routière. Notre chaîne de traitements est constituée par les étapes suivantes : premièrement, nous avons évalué différentes techniques de segmentation de vidéos et de détection d'objets en mouvement. Nous avons choisi une méthode de segmentation basée sur une version paramétrique du mélange de gaussiennes appliquée sur une hiérarchie de blocs, méthode qui est considérée actuellement comme l'un des meilleurs procédés pour la détection d'objets en mouvement. Nous avons proposé une nouvelle méthodologie pour choisir les valeurs optimales des paramètres d’un algorithme permettant d’améliorer la segmentation d’objets en utilisant des opérations morphologiques. Nous nous sommes intéressés aux différents critères permettant d’évaluer la qualité d’une segmentation, résultant d’un compromis entre une bonne détection des objets en mouvement, et un faible nombre de fausses détections, par exemple causées par des changements d’illumination, des reflets ou des bruits d’acquisition. Deuxièmement, nous effectuons une classification des objets, basée sur les descripteurs de Fourier, et nous utilisons ces descripteurs pour éliminer les objets de type piétons ou autres et ne conserver que les véhicules. Troisièmement, nous utilisons un modèle de mouvement et un descripteur basé sur les couleurs dominantes pour effectuer le suivi des objets extraits. En raison des difficultés mentionnées ci-dessus, nous obtenons des trajectoires incomplètes, qui donneraient une information de comptage erronée si elles étaient exploitées directement. Nous proposons donc d’agréger les données partielles des trajectoires incomplètes et de construire une information globale sur la circulation des véhicules dans la scène. Notre approche permet la détection des points d’entrée et de sortie dans les séquences d’images. Nous avons testé nos algorithmes sur des données privées provenant... / This thesis is written in the context of video traffic analysis. In several big cities, hundreds of cameras produce very large amounts of data, impossible to handle without automatic processing. Our main goal is to help human operators by automatically analyzing video data. To help traffic controllers make decisions, it is important to know the traffic status in real time (number of vehicles and vehicle speed on each path), but also to dispose of traffic statistics along the day, week, season or year. The cameras have been deployed for a long time for traffic and other monitoring purposes, because they provide a rich source of information for human comprehension. Video analysis can automatically extract relevant information. Computer vision and video analysis are becoming more and more important for Intelligent Transport Systems (ITSs). One of the issues addressed in this thesis is related to automatic vehicle counting. In order to be useful, a video surveillance system must be fully automatic and capable of providing, in real time, information concerning the behavior of the objects in the scene. We can get this information by detection and tracking of moving objects in videos, a widely studied field. However, most automated video analysis systems do not easily manage particular situations.Today, there are many challenges to be solved, such as occlusions between different objects, long stops of an object in the scene, luminosity changes, etc., leading to incomplete trajectories of moving objects detected in the scene. We have concentrated our work on the automatic extraction of global statistics in the scenes. Our workflow consists of the following steps: first, we evaluated different methods of video segmentation and detection of moving objects. We have chosen a segmentation method based on a parametric version of the Mixture of Gaussians, applied to a hierarchy of blocks, which is currently considered one of the best methods for the detection of moving objects. We proposed a new methodology to choose the optimal parameter values of an algorithm to improve object segmentation by using morphological operations. We were interested in the different criteria for evaluating the segmentation quality, resulting from a compromise between a good detection of moving objects, and a low number of false detections, for example caused by illumination changes, reflections or acquisition noises. Secondly, we performed an objects classification, based on Fourier descriptors, and we use these descriptors to eliminate pedestrian or other objects and retain only vehicles. Third, we use a motion model and a descriptor based on the dominant colors to track the extracted objects. Because of the difficulties mentioned above, we obtain incomplete trajectories, which, exploited as they are, give incorrect counting information. We therefore proposed to aggregate the partial data of the incomplete trajectories and to construct a global information on the vehicles circulation in the scene. Our approach allows to detect input and output points in image sequences. We tested our algorithms on private data from the traffic control center in Chiang Mai City, Thailand, as well as on MIT public video data. On this last dataset, we compared the performance of our algorithms with previously published articles using the same data. In several situations, we illustrate the improvements made by our method in terms of location of input / output zones, and in terms of vehicle counting.

A violência urbana e o medo globalizado, marcas do atual período técnico-científico e informacional, têm alterado as paisagens de diversas partes do mundo através do processo denominado neste trabalho pelo termo securização urbana. Como resposta à sensação de insegurança e de imprevisibilidade, busca-se uma racionalização do território a partir da informatização do cotidiano e da criação de espaços exclusivos. Empiricamente, a securização se traduz em formas arquitetônicas variadas, tendo sido destacadas nesta tese as câmeras de vigilância, os condomínios fechados e as arquiteturas anti-indesejáveis. Transformações espaciais como essas são particularmente intensas em Campinas-SP, município brasileiro ao mesmo tempo muito rico, com importantes empresas e universidades, e muito pobre e violento, portando índices de criminalidade acima da média nacional. Exemplos desse e também de outros lugares do Brasil e da Europa foram analisados em trabalhos de campo que contaram com entrevistas colhidas de agentes locais, fotografias e cartografias, com o intuito de caracterizar o processo de securização e, especialmente, conduzir a uma reflexão sobre suas conseqüências. Conclui-se que a maneira pela qual a segurança tem sido buscada aumenta as desigualdades espaciais e promove uma privatização dos espaços públicos. Além disso, o excesso de vigilância tem reforçado a psicoesfera do medo, tolhido muitas das liberdades individuais e criado novas neuroses e violências. A racionalização do espaço para fins de segurança cria, contudo, as condições para o surgimento de contra-racionalidades, o que reafirma o caráter complexo e dialético do espaço geográfico e aponta para a possibilidade de um futuro marcado pelas solidariedades geográficas e pelo poder revolucionário dos agentes não-hegemônicos. / Urban violence and globalized fear, hallmarks of the current technical-scientific and informational period, have transformed the landscape of different cities of the world through a process called urban securitization\". In response to the feeling of insecurity and unpredictability, territories are being rationalised through the digitalization of everyday life and creation of exclusive areas. Empirically, securitization can be materialized through different architectural forms. This thesis highlights surveillance cameras, gated communities and anti-beggars architectures. These transformations are particularly intense in Campinas, a very wealthy Brazilian city, with important companies and universities, and at the same time very poor and violent, with crime rates above the national average. Examples from this city, but also from other parts of Brazil and Europe, were analyzed in field works which involved interviews with local agents, photos and maps, in order to describe the process of securitization and, especially, to lead to a reflection of their consequences. In conclusion, it can be stated that the way security is being searched increases spatial inequalities and promotes a privatization of public spaces. Furthermore, an excessive surveillance has enhanced the psycho-sphere of fear, has restraint individual liberties and has produced new neuroses and violence. However, rationalisation of space for security purposes facilitates the emergence of counter-rationalities, emphasizing the complex and dialectic qualities of geographic space and indicating the possibility of a future characterized by geographic solidarities and by revolutionary power of non-hegemonic agents.

The nearshore waters off the Oregon coast (< 73 meters) are a region of high productivity and economic value, with a variety of habitats that include rock outcrops. Temperate reef habitats are important to many commercially important fishes inhabiting the Pacific coast, including canary rockfish (Sebastes pinniger) and yelloweye rockfish (Sebastes ruberrimus), which are currently listed as "overfished" by the Pacific Fishery Management Council. Along the Pacific coast of North America, nearshore rocky reefs have been designated as essential fish habitat (EFH), while comprising approximately just seven percent of Oregon's territorial sea. Despite this EFH designation, the use of visual (SCUBA, remotely operated vehicles (ROVs), human occupied vehicles (HOVs)) and non-visual (bottom trawl) survey methods within this region has been infrequent and scattered, providing limited information on species-habitat associations and species assemblages within nearshore waters. It is logistically difficult and costly to survey nearshore reefs. The factors that have led to the paucity of surveys include the depth (too deep for SCUBA surveys but too shallow for larger survey vessels), high seas limiting available days for field work, and the high-relief nature of the habitat (precluding the use of bottom trawls). In an effort to better understand species-habitat associations and community structure of Oregon's nearshore reefs, an autonomous underwater drop-camera termed the "video lander" was employed at the Three Arch Rocks reef, a nearshore reef off of Oceanside, Oregon. Video lander footage was used to identify and groundtruth habitat types, as well as species assemblages over two distinct seasons: spring/summer (n=272) and winter (n=108). Many species-habitat associations were statistically significant: yelloweye rockfish (large boulder p<0.0073), canary rockfish (small boulder p<0.0006), kelp greenling (Hexagrammos decagrammus) (bedrock outcrop p<0.0162), and quillback rockfish (Sebastes maliger) (large boulder p<0.0016). Summer and winter surveys revealed similar habitat associations and distributions for these species. I found no significant difference in species composition between the northern and southern regions of the reef (Bray-Curtis dissimilarity index (BCDI) = 71.71, ANOSIM p>0.1447), but a significant difference between spring/summer and winter seasons was identified on the outer section of the reef, due to the presence of spotted ratfish (Hydrolagus colliei) in the winter (BCDI =76.41, ANOSIM p < 0.0155). My study shows that data provided by the video lander can fill existing gaps in our understanding of nearshore distribution and habitat associations of temperate rocky-reef fishes off the Oregon coast. / Graduation date: 2013

Analysis and visualization of dynamic scenes is often constrained by the amount of spatio-temporal information available from the environment. In most scenarios, we have to account for incomplete information and sparse motion data, requiring us to employ interpolation and approximation methods to fill for the missing information. Scattered data interpolation and approximation techniques have been widely used for solving the problem of completing surfaces and images with incomplete input data. We introduce approaches for such data interpolation and approximation from limited sensors, into the domain of analyzing and visualizing dynamic scenes. Data from dynamic scenes is subject to constraints due to the spatial layout of the scene and/or the configurations of video cameras in use. Such constraints include: (1) sparsely available cameras observing the scene, (2) limited field of view provided by the cameras in use, (3) incomplete motion at a specific moment, and (4) varying frame rates due to different exposures and resolutions. In this thesis, we establish these forms of incompleteness in the scene, as spatio-temporal uncertainties, and propose solutions for resolving the uncertainties by applying scattered data approximation into a spatio-temporal domain. The main contributions of this research are as follows: First, we provide an efficient framework to visualize large-scale dynamic scenes from distributed static videos. Second, we adopt Radial Basis Function (RBF) interpolation to the spatio-temporal domain to generate global motion tendency. The tendency, represented by a dense flow field, is used to optimally pan and tilt a video camera. Third, we propose a method to represent motion trajectories using stochastic vector fields. Gaussian Process Regression (GPR) is used to generate a dense vector field and the certainty of each vector in the field. The generated stochastic fields are used for recognizing motion patterns under varying frame-rate and incompleteness of the input videos. Fourth, we also show that the stochastic representation of vector field can also be used for modeling global tendency to detect the region of interests in dynamic scenes with camera motion. We evaluate and demonstrate our approaches in several applications for visualizing virtual cities, automating sports broadcasting, and recognizing traffic patterns in surveillance videos.

「家」是人類生活的重心，居家影像監控設備的需求來自於家庭用戶想要掌握居家環境安全現況。相對於商業影像監控的應用，居家影像監控設備安裝的複雜度需要較低。因此居家影像監控市場以簡易安裝、遠端監控為主要的發展趨勢。 網路攝影機(IP Camera)具有數位化及網路化的特色，掌握寬頻網路的電信業者積極為影像監控市場創造新興的居家應用情境。許多傳統影像監控產品製造商為因應居家影像監控的潮流，也紛紛推出產品因應。然而電信業者及傳統影像監控業者在居家影像監控的市場都沒有得到很大的成功。個案公司創立於2009年，在2012年所推出的第一代產品，一開始只在網路上銷售，卻在2012、2013席捲美國市場，成為美國居家影像監控產品的第一品牌。 本研究探討之研究問題包括: (一)數位化及網際網路的普及對影像監控產品設計之影響、(二)行動裝置的普及對影像監控產品設計之影響、(三)個案公司提升消費者認知價值之產品創新策略。 本研究採用個案研究方法，首先列出客戶所重視的產品要素，以產品關鍵要素為橫軸客戶對個案產品的認知價值為縱軸描繪出曲線圖，比較個案公司產品與競爭對手的產品價值曲線，可解讀出其策略上的差異點。最後運用藍海策略思維，重塑和創新價值曲線以產生新的策略意義。 本研究發現，數位科技進步及網際網路的普及降低了使用影像監控產品的門檻，因而使居家影像監控產品得以被大量採用。而移動裝置的普及改變了消費者使用影像監控產品的方式，使用者的體驗主要來自於手機App的操作經驗，與過去在個人電腦上的使用經驗完全不同。個案公司以解決使用者痛點作為提升消費者認知價值之產品創新策略，值得居家影像監控業者未來產品規劃參考。 / Home is the center of human life, home video surveillance equipment demand from home users want to master the security status of the home environment. With respect to the commercial video surveillance applications, home video surveillance equipment requires low complexity of the installation. Therefore, the main trend of home video surveillance is easy installation and remote monitoring. IP Camera has digitized and network-oriented features, Internet carriers create new application scenarios for home video surveillance market. Many traditional video surveillance equipment manufacturers to cope with the trend of home video surveillance have also introduced products in response. However, carriers and traditional video surveillance industry in the home video surveillance markets have not been very successful. Founded in 2009, Dropcam Inc. launched the first generation of products in 2012, selling only on the Internet at the beginning, became the top brand of home video surveillance products in United States in 2013. This study try to answer three questions: (1) The popularity of digital technology and the Internet's impact on the design of video surveillance products, (2) The impact of the popularity of mobile devices on the design of video surveillance products, (3) Dropcam’s product innovation strategy to enhance consumer perceived value of the product. This study used a case study approach. Comparing the product value curve of Dropcam's products and its competitor’s product can interpret difference of strategy. Finally, the use of blue ocean strategy thinking, remodeling and innovation to create a new value curve strategic importance. The study found that the popularity of digital technology and the Internet's progress reducing the threshold to use of video surveillance products, thus making home video surveillance products to be widely adopted. The popularity of mobile devices has changed the way consumers use video surveillance products. Dropcam to resolve user’s pain points to enhance consumer awareness of the value of a product. It is worth for coming home video surveillance maker’s reference.