Video Surveillance(blue).emf

VIDEO-SURVEILLANCE IN CLOUDPlatform and software aaS for people detection and soft-biometryR. Cucchiara°,*, A. Prati°,+, R. Vezzani°,*, S. Calderara°,*, C. Grana°,*°SOFTECH-ICT, *Università di Modena e Reggio Emilia, +Università IUAV di Venezia Abstract: In this paper we will describe the recent experiences at ImageLab about architectural and algorithmic studies, mainly devoted to people surveillance.The research, prototypes and results are part of three different projects: (1)BESAFE, with NATO in the Science for Peace programme with HebrewUniversity of Jerusalem (Israel); (2) THIS, a CIP EU project with bothuniversities and SMEs, such as Bridge129 from Italy; (3) VISERAS, aregional project funded by LEPIDA spa in collaboration, among others, withIBM Italia.Key words: Video surveillance as a service; people detection; soft biometry; cloud computing1.INTRODUCTIONVideo-surveillance is an important application field of computer engineering, involving multidisciplinary studies, starting from sensors, acquisition and storage systems, display interfaces and networks to algorithm and software development.Although this discipline is relatively old in ICT, having the first video-surveillance installations in the middle of ‘60, only the hardware architecture has shown a monotonic growth from research to the market. In 1969 the first system was installed at Municipality Building in NY, while in 1993 the first digital one was installed at World trade Center in NY too, after the arrival in the market of the first DVR in 1985 to create Digital CCTV systems. In the new century the panorama transformed a single camera system to a more or less large networks of camera systems, from simple platforms for building automation security to very large implementations, such as the ones of2R. Cucchiara ,*, A. Prati ,+, R. Vezzani ,*, S. Calderara ,*, C.Grana ,* Chicago Virtual Shield of 2006 from IBM (initially with 3000 connected cameras in a single network) to the 2 million camera system of All-Seeing-Eye in Shenzen China, started in 2009 up to the new IoT (Internet of Things) video-surveillance project in 2010 including millions of cameras and other RFID, infrared, smoke detector sensors for Chongqing Municipality.Conversely, software components are still not stable, and from an initial use of video processing for coding and data transfer only in the middle of ’80, ten years ago the commercial systems started to include some simple software modules of motion detection, and only in these last few years the term “video analytics” has been commercially adopted: generically speaking, it indicates all the software tools which provide automatic video processing with computer vision and pattern recognition to extract knowledge from the observed scene.In this context, the last ten years of research successes are now on the market but the way to have well-assessed and precise tools for each scenario and for large installations is still an arduous and winding road. The results in background suppression and appearance-based tracking are still important but their limits of applicability have been well assessed, for instance with moving/changing background or moving cameras.The target classification and the behavior analysis of targets - especially people and vehicles - have still not reached a stable solution. However, an undoable changing is visible in this new decade of the second millennium: the time from basic, theoretical research in computer vision (with machine learning and statistical pattern recognition), to the prototypal implementation, the pre-competitive transfer and the creation of final products is very shortened. This very short time-to-market is made necessary by the very large demand of final applications in all the fields of security, real-time surveillance and forensics. For these reasons, theoretical researches are more and more connected with practical implementations.Accordingly, in this paper we will describe the recent experiences at ImageLab about architectural and algorithmic studies, mainly devoted to people surveillance. The research, prototypes and results are part of three different projects:1)BESAFE, with NATO in the Science for Peace programme withHebrew University of Jerusalem (Israel);2)THIS, a CIP EU project with both universities and SMEs, such asBridge.129 from Italy;3)VISERAS, a regional project funded by LEPIDA spa incollaboration, among others, with IBM Italia.VIDEO-SURVEILLANCE IN CLOUD 3 The projects have been cited from the most theoretical to the most practical one, but their studies and results are very strictly connected. In this work we will present the new trends in basic and industrial research for both hardware (here used with the sense of architecture and not of the single device) and software (that here means algorithms for knowledge extraction) layers.2.VIDEO-SURVEILLANCE IN CLOUDThe project VISERAS “VIdeo Surveillance in Emilia Romagna As a Service” is a good example of timely industrial research project which joins previous experiences of surveillance systems and new trends of distribute computation in a cloud. The project aimed at defining an architecture for providing not systems of video-surveillance but services applied on data remotely acquired and remotely stored. The availability of a cloud architecture makes affordable new solutions which can spread the surveillance capabilities also to that public bodies (eg. small villages) which cannot afford the installation of a complete multi-camera, even distributed but proprietary, system.The availability in Emilia Romagna of the Lepida’s fiber-channel network (one of the most important example in Italy of solutions to overcome the digital divide) suggested the possibility to exploit the wideband network for creating remote services for security. Consequently, a design of an architecture of surveillance over the concept of cloud was very natural by including the three main components of cloud, namely Application as a service (AaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). Fig. 1(a) shows a sketch which represents our view of aaS within the project: the left side of the cloud represents the three components just mentioned, whereas the right side represents the corresponding components of the video surveillance system.The most innovative part is, probably, the middle one: while exploiting remote server capabilities as a common IaaS is now concretely adopted for many applications (mailing, document storages, etc.), the concept of PaaS extends the horizon to common services where interaction between different content providers and content users must be very strict.In traditional distributed video surveillance platforms, all cameras data are centralized and visible by the central control center which may set some partial views only for human operators. Cameras data can be viewed in streaming and synchronized with time-stamps, depending on the network traffic. Videos are processed to extract knowledge specifically annotated (eg.4in MILS IB(see Fig. 1(b In our “Federated by themselv cameras can police, etc.)simultaneou platform lev the compute architecture integrating proprietary ImageLab li full paper v mode and g depicts somR. Cucch BM architectu b)).proposal, in users ” which ves or others:n be allowed , and the sam usly-streamed vel is require er vision m has been im open-source libraries (as ibs). This ar version, allow gave differente aspects of t hiara ,*, A. P ure) and stan nstead, the h are groups : for instance d to different me or other p d videos. Th ed, made mo modules must mplemented tools such the MILS to chitecture, w wed to create t privileges a the project.(a)Architectu Prati ,+, R. Ve ndard a-post platform im of users wh e, in a smart t public bod public bodies hus, a more c ore complex t be also sy in a mixtur as Zonemin ools of IBM)which will be e multiple vi and permissiure VISERAS i ezzani ,*, S. C teriori querie mplements t ich can share city system m dies (city mu s could be fe complex syn if some eve ynchronized. re of systemsnder, opportu ) and researc e described i iews of even ons to specifn a cloudCalderara ,*Gran es are availa the concept e data produc many groups unicipality, st derated to vi nchronization ents detected The model s and tools, unely modifi ch libraries (in details in nts in a federfic users. Fig *, C.na ,*able of ced s of tate iew n at by ofby ied, (the the rate g. 1VIDEO-SURRVEILLANC (b) Arc (c)CE IN CLOUD chitecture integrOutput of imp Drating vendors aproved ZoneMi and research tooinder systemols563. S A simila services whi needs. A com find people people seg suppression appearanceFig. 2).R. Cucch Figure 1PATIO-TE ar architectur ich can be us mmon proble in the space gmentation methods, nindependentl hiara ,*, A. P (d) Multip . VISERAS: vid EMPORA re gives spa sed, combine em to every p e and across was mostl now the newly from their Prati ,+, R. Ve ple events evalu deo surveillanc AL PEOPL ace to re-thin ed and impro people secur the time. W ly adopted w way of per motion is b ezzani ,*, S. C uatione as a serviceLE DETEC nk surveillan oved accordin rity analysis a While in the p considerin eople detectibecoming pop Calderara ,*Gran CTIONnce modules ng with spec application is past the term ng backgrou ion by learnpular [1-5] (*, C.na ,*s as ific s to m of und ning (seeVIDEO-SUR At the sa and similarit are explored within the T which explo windows-bafaster mode RVEILLANC Figur ame time, tra ty matching d. Here, we THIS projec oits particle ased multilaye people in im CE IN CLOUD (a) People seg (b) The ap re 2. People det cking approa is not always e will discus ct, about the windows ins yer approachmages and v Dgmentation vs. pproach at Imag tection in time a ach as the ens s applicable a ss some inte use of the stead of slid permits to bevideos [5]. S detectiongelaband spacesemble of mo and other dif eresting resu a new searc ding windows etter localizeSome results otion predict fferent solutio ults, carried ch methodolo s . The parti e and detect iare depicted 7tion ons out ogy icle in a d in8Fig. 3, wheparticle and(b)People m to predict m the image. F tracing inste transductive or very clutpapers [6-8]R. Cucch ere the conc pdf–based se (a) The presen ) Sliding-wind Fig must be detec more or less For this reas ead of tracki e semi-superv ttered enviro].hiara ,*, A. P cept of “bas earch for peo nce of a basin o dows vs particle gure 3. People l cted in the ti accurately th son, we hav ng, or more vised methodonments, as d Prati ,+, R. Ve sin of attrac ople) is show of attraction in p e-windows appr localization in i ime too, inde he motion an e obtained i in general in ds, that becodepicted in F ezzani ,*, S. C ction” (funda wn.people localizati roaches in locali images.ependently of nd the next p interesting re n people follo ome valuableFig. 4 and in Calderara ,*Gran amental to u ionizing peoplef the possibi people status esults in peop owing based e also in cron our publish *, C.na ,*uselity s in ople d on owdhedVIDEO-SUR 4. S F In the las in a cloud p such as peop aspects, dres One very services is biometry, m biometric c converselyinteractions.RVEILLANC Figure 4. Tr OFT-BIO FORENSIC st section of platform, suff ple search fo sses, if possib y general fra focusing on meaning the cues which are often. Soft biome CE IN CLOUD ransductive peo METRY F CSthe paper we ficiently gene or similarity u ble to compu amework for people aspe e possibility are effectiv difficult toetry instead a Dople tracing in v FOR SURV e will discuss eral to be ad using soft bi ute high, and both real-tim ect similarity by recogni ve, precise be accepteaccepts to b video sequences VEILLAN s one of the p opted as a co iometric cues finally trajec me and off-li y. This is th izing people and possibl ed and neede less accura s.NCE ANDpossible serv ommon servi s (mainly vis ctory type). ine surveillan he basis of s e without h ly unique, d collaboratate (but alw 9vice ice, sual nce soft hardbuttiveays10R. Cucchiara ,*, A. Prati ,+, R. Vezzani ,*, S. Calderara ,*, C.Grana ,* with high recall), uses very simple cues which can be extracted with computer vision for instance by video cameras, and often needs of user interaction and feedbacks to improve precision.We worked on 3D re-identification solutions matching 2D and 3D models in real-time (Fig. 5(a)) [9-12], and provided new interactive interfaces for search for aspect similarities, comparing and exploiting different visual features and different classification methods with relevance feedback (Fig. 5(b)). Finally, we exploited similar concepts for trajectory similarity with spectral-graph analysis after Voronoi tessellation [13] (Fig. 5(c)). This work is a result of the NATO Project BESAFE in collaboration with the Hebrew University of Jerusalem.5.CONCLUDING REMARKSThis paper condensed the research results achieved within ImageLab in three recent projects which share video surveillance as topic. In particular, all the proposed solutions have tackled both the algorithmic and architectural perspective, by proposing the use of cloud-based architectures to build “video surveillance as a service” platforms. These preliminary results demonstrate that video surveillance systems can easily be exported to this type of architectures.VIDEO-SURRVEILLANCFigure 5CE IN CLOUD (a) 3D (b) Search (c) Search b 5. Soft-biometryDD re-identificatio by aspect simil by trajectory simy services for peon larities milarityeople analysis 1112R. Cucchiara ,*, A. Prati ,+, R. Vezzani ,*, S. Calderara ,*, C.Grana ,* REFERENCES[1] O. Tuzel, F. Porikli, and P. Meer, “Pedestrian detection via classification onRiemannian manifolds,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 10, pp. 1713–1727, Oct. 2008[2] Q. Zhu, M.-C. Yeh, K.-T. Cheng, and S. Avidan, “Fast human detection using a cascadeof histograms of oriented gradients,” in Proceedings of Computer Vision and Pattern Recognition (CVPR), 2006, vol. 2, pp. 1491 – 1498.[3] S. Paisitkriangkrai, C. Shen, and J. Zhang, “Fast pedestrian detection using a cascade ofboosted covariance features,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, no. 8, pp. 1140 –1151, Aug. 2008.[4] P. Dollar, S. Belongie, and P. Perona, “The fastest pedestrian detector in the west,” inProceedings of British Machine Vision Conference (BMVC), 2010, pp. 1–11[5] G. Gualdi, A. Prati, R. Cucchiara, “Multi-Stage Particle Windows for Fast and AccurateObject Detection”, in IEEE Transactions on Pattern Analysis and Machine Intelligence to appear, 2012[6] D. Coppi, S. Calderara, R. Cucchiara, “Appearance tracking by transduction insurveillance scenarios”, in Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2011[7] D. Coppi, S. Calderara, R. Cucchiara, “Iterative active querying for surveillance dataretrieval in crime detection and forensics”, in Proceedings of the 4th IET International Conference on Imaging for Crime Detection and Prevention (ICDP), 2011[8] D. Coppi, S. Calderara, R. Cucchiara, “People appearance tracing in video by spectralgraph transduction”, in Proceedings of the 2nd IEEE Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS), 2011[9] D. Baltieri, R. Vezzani, R. Cucchiara, "3DPes: 3D People Dataset for Surveillance andForensics" in Proceedings of the 1st International ACM Workshop on Multimedia access to 3D Human Objects, Scottsdale, Arizona, USA, pp. 59-64, Nov 28 - Dec 1, 2011[10] D. Baltieri, A. Utasi, R. Vezzani, B. Csaba, T. Sziranyi, R. Cucchiara, "Multi-ViewPeople Surveillance using 3D information" in Proceedings of the Eleventh International Workshop on Visual Surveillance 2011, Barcelona, Spain, pp. 1817-1824, Nov. 13, 2011[11] D. Baltieri, R. Vezzani, R. Cucchiara, "SARC3D: a new 3D body model for PeopleTracking and Re-identification" in Proceedings of the 16th International Conference on Image Analysis and Processing, LNCS 6978, Ravenna, Italy, pp. 197-206, Sept. 14-16, 2011[12] D. Baltieri, R. Vezzani, R. Cucchiara, "3D Body Model Construction and Matching forReal Time People Re-Identification" in Proceedings of Eurographics Italian Chapter Conference 2010 (EG-IT 2010), Genova, Italy, Nov. 18-19, 2010[13] S. Calderara, U. Heinemann, A. Prati, R. Cucchiara, N. Tishby “Detecting Anomalies inPeople Trajectories using Spectral Graph Analysis”, in Computer Vision and Image Understanding, vol. 115, no. 8, pp. 1099-1111, 2011。

欧盟EMF标准简述EMF standards in European Union深圳电子产品质量检测中心张灿李思雄摘要产品销往欧盟，符合欧盟指令要求打上CE标志是必须的；本文目的就是简述R&TTE指令和LVD指令中要求包含的不为熟知的而又常用的人体暴露在危险电磁环境下的EMF (The effects of electromagnetic fields)安全标准。

关键词欧盟指令EMF标准SARAbstract We must study EU Directives for example R&TTE and LVD and their correlative standards, especial the EMF (The effects of electromagnetic fields) standards we know little, because CE mark is needed for Products export to EU.Keywords EU Directives EMF standards SAR欧盟是中国最大的贸易伙伴，有为数众多的中国企业将产品销往欧洲市场。

根据欧盟的市场准入规则，CE标志是必须的，对于电子产品而言，欧盟指令主要包括了EMC指令(Electromagnetic Compatibility Directive)和LVD指令(the Low Voltage Directive)。

但是其中的EMF (The effects of electromagnetic fields)标准并不为很多厂家所知，本文的目的就是逐一简述其中的常用标准和应用范围。

EMF标准的制定可以源于1999年通过的欧盟指令1999/519/EC，其主要目的是保护暴露在电磁环境下的公共人身安全。

此后的新指令2004/40/EC，主要为防范工作环境中的电磁辐射照射。

虽然这并不是CE标志强制的指令，但却是欧盟职业健康安全规范的一部分，为欧洲许多企业所重视。

See Close-Up in 700TVL High Res TVEASILY CONNECT TO TV OR DVROSDCONTROL THE VIDEO IMAGES WITH ON-SCREEN DISPLAYPOWERFUL DAY & NIGHT VISION OF 131FT / 40M IP67 DURABLE WEATHERPROOF METAL CASINGWIDE DYNAMIC RANGE TOSEE CLEAR IMAGES IN ANY LIGHTSUPER CRYSTAL CLEAR COLOR700TVL 1/3" SONY 'EFFIO' CCD VIDEOSEE MORE WITH ADJUSTABLE FOCUS & 4x ZOOMDETER VISIBLE CAMERA & 4 STICKERS DETER CRIME WDR 700TVLPro quality 700 TV lines, day/night protection from above!• See more with high resolution 700 TV lines color 1/3” Sony ‘Effi o’ video, powerful infrared night vision & wide dynamic range for clear images in any light• Use the On-Screen Display (OSD) controller & built-in software to customize the camera settings for professional quality v ideo surveillance• Easily mount to walls or ceiling with heavy duty, vandal-resistant aluminum construction & IP-67 weatherproof rating for all conditions• Fight back against crime by deterring intruders & protecting your property at all hours of the day & night• Plug into a DVR for recording or your TV’s video-in socket for immediate surveillance • Perfect for home, offi ce, retail or commercial surveillance, indoors or outdoors in any weatherUltimate Optical Zoom Dome CameraPRO-781™C A M E R ASWPRO-781CAMFor more information on this product visit es2XU 3URPLVHSwann stands by its Lifetime Support promise to makeadvanced security easy to use, install and maintain.Everything is in the pack but if you need it, Swann’s helpdesk is available with extended hours for the life of the product. Swann products are also backed by a 12 monthmanufacturer’s warranty.promisetomake T HES WA N N P R OMIS ET HES WA N N P R OMI S EInstallation is easyDo-it-YourselfInstalling this Swann product is simple. For instructions, tips and videos see the operating instructions in this pack or visitProfessional InstallationNeed extra help?We have an installer in your region!For more visitWhat’s in the boxAll installation accessories included • PRO-781™ Dome Camera • OSD Controller • BNC Cable 60ft / 18m • • • • Operating Instructions • Speci fi cationsVideoImage Sensor Color 1/3” Sony ‘Effi o’ CCD Video Quality700 TV LinesNumber of Effective Pixels NTSC: 976 x 494 / PAL: 976 x 582Minimum Illumination 0 Lux (IR on)Day/Night Mode Color during day / switches to B&W at night White Balance Automatic / Custom / Manual Electronic Shutter 1/60 - 1/100,000 NTSC1/50 - 1/100,000 PALGain ControlAutomatic / Manual Backlight Compensation Adjustable Wide Dynamic RangeAdjustableLensVari-focal 2.8mm ~ 12mmViewing Angle23 ~ 81 degreesNight VisionNight Vision Distance 98ft / 30mNumber of Infra-Red LEDs 21Infra-Red Wavelength 850nmInfra-Red LED Life10,000 hoursGeneralOperating PowerDC 12VOperating Temperature -4°F ~ 113°F / -20°C ~ 45°C Body Construction AluminumDimensions – Camera 5.9” x 5.9” x 3.9”150mm x 150mm x 100mm Weight – Camera 2.03lbs / 922g Cable Length60ft / 18mCodesSwann Code SWPRO-781CAM UPC 815849013230BNC Cable 60ft / 18m BNC to RCA Adapter Power Adapter & SplitterMounting Screws & PlugsOperating InstructionsTheft Deterrent Stickers x 4Ultimate Optical Zoom Dome CameraPRO-781™Advanced customizable features available through OSD(On-Screen Display) controllerHeavy duty,vandal-resistantaluminium construction Remotely adjust camera settings5.9” / 150mm DiameterEasily mount to walls or ceilingsRemove and re-attach base with Allen key for easy DIY installation Do-it-YourselfInstalling this Swann product is simple. For instructions, tips and videos see the operating instructions in this pack or visit Professional InstallationNeed extra help? We have an installer in your region! For more visit PRO-781Monitor(not included)DVR(sold separately)OSD ControllerInstallation is easy。

HR7775, HR7774EN | EnglishFR | FrançaisMS | Bahasa Melayu TC | 繁體中文SC | 简体中文AR |FA |CautionNever switch off the appliance by turning the blender jar, the food processor bowl or the juicer bowl. Always switch off the appliance by turning the speed control knob to OFF.Switch off the appliance before you detach any accessory. Unplug the appliance immediately after use.Always unplug the appliance before you reach into the blender jar with your fingers or an object (e.g. a spatula).Wait until moving parts stop running before you remove the lid of the bowls or jar.Never use any accessories or parts from other manufacturers or that Philips does not specifically recommend. If you use such accessories or parts, your guarantee becomes invalid.Do not exceed the maximum content indicated on the food processor bowl or the blender jar.Do not use the juicer if the sieve is damaged.Consult the tables in this user manual for the correct quantities and processing times.Thoroughly clean the parts that come into contact with food before you use the appliance for the first time.Let hot ingredients cool down before you process them (max. temperature 80°C/175°F).Noise level: Lc= 78 dB(A).Electromagnetic fields (EMF)This Philips appliance complies with all standards regardingelectromagnetic fields (EMF). If handled properly and according to the instructions in this user manual, the appliance is safe to use based on scientific evidence available today.Built-in safety lockThis feature ensures that you can only switch on the appliance if you have assembled the blender jar with blade unit, the food processor bowl, the juicer bowl with coupling unit or the citrus press correctly on the motor unit. If the blender jar with blade unit, the food processor bowl, the juicer bowl with coupling unit or the citrus press is assembled correctly, i.e.when it has been turned in the direction of the ‘locked’ symbol as far as possible (‘click’), the built-in safety lock will be unlocked.------------EN | ImportantRead this user manual carefully before you use the appliance and save it for future reference.DangerNever immerse the motor unit in water or any other liquid, nor rinse it under the tap.WarningCheck if the voltage indicated on the appliance corresponds to the local mains voltage before you connect the appliance.Never connect this appliance to a timer switch in order to avoid a hazardous situation.Do not use the appliance if the mains cord, the plug or other parts are damaged.If the mains cord is damaged, you must have it replaced by Philips, a service centre authorised by Philips or similarly qualified persons in order to avoid a hazard.This appliance is not intended for use by persons (includingchildren) with reduced physical, sensory or mental capabilities, or lack of experience and knowledge, unless they have been given supervision or instruction concerning use of the appliance by a person responsible for their safety.Children should be supervised to ensure that they do not play with the appliance.Never let the appliance run unattended.Never use your fingers or an object (e.g. a spatula) to pushingredients down the feeding tube while the appliance is running. Only use the pusher for this purpose.Be very careful when you handle the discs, blender blade unit or food processor blade unit. Be especially careful when you remove them from the food processor bowl or blender jar, when you empty the bowl or jar and when you clean them. Their cutting edges are very sharp.----------AttentionN’éteignez jamais l’appareil en tournant le bol mélangeur, le bol du robot ménager ou le bol de la centrifugeuse. Éteignez toujours l’appareil en réglant le bouton de commande de la vitesse sur OFF.Éteignez l’appareil avant d’en retirer un accessoire. Débranchez l’appareil immédiatement après utilisation.Débranchez toujours l’appareil avant de mettre vos doigts ou tout autre objet (par ex. une spatule) dans le bol mélangeur.Avant de retirer le couvercle du bol ou du bol mélangeur, patientez jusqu’à l’arrêt complet des éléments en mouvement.N’utilisez jamais d’accessoires, ni de pièces d’autres fabricants ou qui n’ont pas été spécifiquement recommandés par Philips. Votre garantie ne sera pas valable en cas d’utilisation de tels accessoires ou pièces.Ne dépassez pas la capacité maximale indiquée sur le bol du robot ménager ou du mélangeur.N’utilisez pas la centrifugeuse si le filtre est endommagé.Consultez les tableaux de ce mode d’emploi pour connaître les quantités et les temps de préparation adéquats.Avant la première utilisation, nettoyez soigneusement toutes les pièces en contact avec des aliments.Laissez refroidir les aliments chauds avant de les verser dans le robot ménager (température max. : 80°C/175°F).Niveau sonore : 78 dB(A)Champs électromagnétiques (CEM)Cet appareil Philips est conforme à toutes les normes relatives aux champs électromagnétiques (CEM). Il répond aux règles de sécurité établies sur la base des connaissances scientifiques actuelles s’il estmanipulé correctement et conformément aux instructions de ce mode d’emploi.Verrou de sécurité intégréGrâce à cette fonctionnalité, l’appareil se met en marche uniquement lorsque le bol mélangeur est correctement fixé sur l’ensemble lames, le bol du robot ménager, le bol de la centrifugeuse sur l’unité d’assemblage ou le presse-agrumes sur le bloc moteur. Dans ce cas (une fois le------------FR | ImportantLisez attentivement ce mode d’emploi avant d’utiliser l’appareil et conservez-le pour un usage ultérieur.DangerNe plongez jamais le bloc moteur dans l’eau, ni dans d’autres liquides et ne le rincez pas.AvertissementAvant de brancher l’appareil, vérifiez que la tension indiquée sur l’appareil correspond à la tension secteur locale.Pour éviter tout accident, il est vivement déconseillé de connecter l’appareil à un minuteur.N’utilisez pas l’appareil si le cordon d’alimentation, la fiche ou d’autres pièces sont endommagées.Si le cordon d’alimentation est endommagé, il doit être remplacé par Philips, un Centre Service Agréé ou un technicien qualifié afin d’éviter tout accident.Cet appareil n’est pas destiné à être utilisé par des personnes (notamment des enfants) dont les capacités physiques, sensorielles ou intellectuelles sont réduites, ou par des personnes manquant d’expérience ou de connaissances, à moins que celles-ci ne soient sous surveillance ou qu’elles aient reçu des instructions quant à l’utilisation de l’appareil par une personne responsable de leur sécurité.Veillez à ce que les enfants ne puissent pas jouer avec l’appareil.Ne laissez jamais l’appareil fonctionner sans surveillance.Ne mettez jamais vos doigts ou tout autre objet (par exemple, une spatule) pour introduire des aliments dans la cheminée de remplissage lorsque l’appareil est en cours de fonctionnement. Utilisez exclusivement le poussoir prévu à cet effet.Soyez très prudent lorsque vous manipulez les disques, l’ensemble lames du blender ou la lame du robot ménager, en particulier lorsque vous les retirez du bol ou du bol mélangeur, lorsque vous videz le bol ou le bol mélangeur et lorsque vous les nettoyez. Leurs bords sont en effet très coupants.----------atau balang pengisar, semasa anda mengosongkan mangkuk atau balang daripada makanan dan semasa anda membersihkannya. Pinggir pemotongnya sangat tajam.AwasJangan matikan perkakas dengan memusingkan balang pengisar, mangkuk pemproses makanan atau mangkuk pemerah jus. Sentiasa matikan perkakas dengan memutarkan tombol kawalan kelajuan ke OFF.Matikan perkakas sebelum anda menanggalkan sebarang aksesori. Cabutkan plag sebaik sahaja selesai penggunaan.Sentiasa cabut plag sebelum menyentuh ke dalam jar pengisar menggunakan jari-jari anda atau benda (seperti spatula).T unggu sehingga bahagian yang bergerak berhenti bergerak sebelum anda menanggalkan tudung mangkuk atau balang.Jangan sekali-kali menggunakan sebarang aksesori atau bahagian dari pengilang lain atau yang tidak disarankan secara khusus oleh Philips. Jika anda menggunakan aksesori atau bahagian sedemikian, jaminan anda akan dibatalkan.Jangan melebihi kandungan maksimum yang ditunjukkan pada mangkuk pemproses atau balang pengisar.Jangan gunakan pemerah jus jika penyaringnya rosak.Rujuk jadual dalam manual pengguna ini untuk kuantiti dan masa pemprosesan yang betul.Bersihkan bahagian-bahagian yang terkena makanan dengan rapi sebelum anda menggunakan peralatan buat pertama kali.Biar bahan-bahan panas menjadi sejuk sebelum anda memprosesnya (suhu maksimum 80°C/175°F).Aras hingar: Lc = 78 dB(A).Medan Elektro Magnet (EMF)Perkakas Philips ini mematuhi semua piawai yang berhubung dengan medan elektromagnet (EMF). Jika dikendalikan dengan betuldan mematuhi arahan dalam manual pengguna ini, perkakas selamat untuk digunakan menurut bukti saintifik yang boleh didapati pada masa ini.------------bouton tourné au maximum dans la direction du symbole« verrouillé » ; vous entendrez un « clic »), le verrou de sécurité se désactive automatiquement.MS | PentingBaca buku panduan pengguna ini dengan teliti sebelum andamenggunakan perkakas dan simpannya untuk rujukan masa depan.BahayaJangan sekali-kali tenggelamkan unit motor ke dalam air atau apa-apa cecair lain, atau membilaskannya di bawah paip.AmaranPeriksa sama ada voltan yang ditunjukkan pada perkakas sepadan dengan voltan sesalur kuasa setempat sebelum anda menyambungkan perkakas.Jangan sambungkan perkakas ini dengan suis pemasa untuk mengelakkan situasi yang berbahaya.Jangan gunakan perkakas jika kord utama, plag atau bahagian lain sudah rosak.Jika kord sesalur rosak, ia mesti digantikan oleh Philips, pusat servis yang dibenarkan oleh Philips atau pihak yang telah diluluskan bagi mengelakkan bahaya.Perkakas ini bukan dimaksudkan untuk digunakan oleh orang (termasuk kanak-kanak) yang kurang upaya dari segi fizikal, deria atau mental, atau kurang berpengalaman dan pengetahuan, kecuali mereka diawasi atau diberi arahan berkenaan penggunaan perkakas ini oleh orang yang bertanggungjawab atas keselamatan mereka. Kanak-kanak kecil harus diawasi untuk memastikan mereka tidak bermain dengan perkakas itu.Jangan biarkan perkakas digunakan tanpa pengawasan.Jangan gunakan jari atau sebarang benda (contohnya spatula) untuk menolak bahan-bahan ke dalam tiub masuk semasa perkakas sedang bergerak. Hanya gunakan penolaknya untuk tujuan ini.Berhati-hatilah semasa mengendali cakera, unit mata pisau pengisar atau unit mata pisau pemproses makanan. Beri perhatian yang lebih semasa anda mengeluarkannya dari mangkuk pemproses makanan----------攪拌杯中的食材，以及清潔刀片時，都要格外小心 - 刀片相當鋒利。