Rushewar Zazzabi tare da Ginin Cikin Blackbody
SUNSON Fetector Gano Sulution tare da Ginannen Blackbody shine cikakkiyar bayani game da zazzabi tare da auna yanayin zafin jiki, fitowar fuska da manyan ƙididdigar bayanai.
Ta hanyar tsarin auna yanayin zafin jiki na fasaha, bayanan fuska a cikin hoto mai rai da yanayin zafi a wuraren da aka zana ana iya kama su da sauri, kuma za a iya gwada zafin jikin mutum da lissafa shi ta hanyar tashar ta hankali, za a iya ganewa da nuna fuskar da aka kama.
Lokacin da yanayin jikin ma'aikata, guda ko rukuni na mutane, a cikin zangon hangen nesa na kamara ya fi ƙasa ko ƙasa da yadda aka saita zafin jiki na yau da kullun (ƙofar), za a ƙaddamar da sautin ƙararrawa don tunatar da ma'aikatan da ba shi da zazzabi da ma'aikatan kiwon lafiya. ma'amala da shi a ainihin lokacin, kuma a lokaci guda, za a shigar da hargitsi a cikin cibiyar kulawa don nazarin bayanai.
Sanye take da software na gaba-da-gaba, tsarin gano yanayin zafin jiki an sanye shi tare da jikin baki baki wanda aka haƙo shi, don haka tabbatar da ingantaccen sakamakon gwajin sosai. Za a iya amfani da wannan hadadden tsarin na fuskar fuska gami da gano yanayin zafin jiki azaman na’urar da ba ta dace ba ko kuma wurin bincike na babban tsarin rigakafin cutar.
Babban Fasali 1). Tsaro: ƙarancin zafin zafin hoton da ba a tuntuɓar shi don kaucewa haɗarin kamuwa da cuta.
2). Inganci: lokacin ganowa bai wuce dakika 1 ba, kuma ana iya gudanar da gwaje-gwaje da yawa a lokaci guda.
3). Abilityarfafawa: haƙƙin mallakar zafin jiki wanda aka kirkirar dashi da gaske, ƙimar zafin jiki ta fi daidai.
4). Gano ganowa: gano fuska da auna zafin jiki don gujewa wasu tsangwama da ba mutum ba.
5). Mai sauƙin turawa: ta hanyar nuni da ma'aunin ma'aunin zafin jiki na mutum mai zafin kwanton zafin infrared na mutum, an kafa karamin tashar auna zafin jiki.
6). Duk-yanayi: 7 x 24 ainihin lokacin zafin jiki, yanayin gargaɗin da ke kan iyaka.
Bayani na fasaha
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Thermal
Imaging Sensor
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Resolution
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320*240
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Temperature range
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32℃~42℃
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View angel
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Hor. 34.4°, Ver. 25.8°
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Video output
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6bit, color mode: 32bit ARGB
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NETD
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70mK@25℃
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Accuracy
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≤±0.5℃
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Calibration
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Real-time by built-in black
body
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Detection time
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< 1 second
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Detection range
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≧1M, ≦5M, best at
2.5 M
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Detection mode
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Multi-person (≦10), temperature only
Single person (temperature +
face recognition)
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Camera
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Imaging sensor
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SONY 1080P 500W IMX5187
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Resolution
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1920 x 1080
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Lens size
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5mm
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Pixel width
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3μm x 3μm
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Frame
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30fps 1080p
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Dynamic range
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105DB
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Gain
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Auto
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Exposure
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Auto
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White balance
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Auto
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Environment
Condition
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Working temperature
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25~32℃
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Storage temperature
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-20~60℃
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Working moisture
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＜90% (no condensation)
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General condition
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Indoor, without wind
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Terminal mai hankali
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Specification
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Language
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English, Chinese(other languages upon MOQ 200 sets)
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Chip
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RK3399, 6 cores; 2A72 + 4 A53,
1.8GHz
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RAM
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DDR3 4GB
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Storage memory
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EMMC 16G
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Video output
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HDMI, 1080P
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Audio output
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3.5mm jack
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USB interface
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USB 2.0 *2, USB3.0 *2
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Network
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2.4G WiFi
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10/100/1000M Ethernet
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Power supply
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DC12V/2A
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Clock
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Support RTC clock
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Power on/off
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Automatic start system when power on
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Operating system
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Android 7.1
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Upgrade
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Support TF card & USB
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Input method
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Standard android keyboard
Support third party input method
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Face recognition
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Local database
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Data storage
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Max. 50,000 faces
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Hankali
1). Ya kamata a yi amfani da kayan auna zafin cikin gida tare da yanayin ɗaki tsakanin 25 ℃ da 32 ℃. Kada a shigar da kayan aiki a ƙarƙashin iska. Tabbatar cewa babu tushen wuta a cikin mita 3.
2). Ma'aikatan da ke shiga cikin ɗaki daga yanayin sanyi ko yanayi mai ɗumi mai zafi zai shafi daidaito na ma'aunin zafin jiki. Wajibi ne a kiyaye goshin ba tare da murfin ba na tsawon minti uku a cikin ɗaki kuma yawan zafin jiki ya daidaita kafin a gwada zafin goshin.
3). Ana gano yanayin yanayin daga maɓuɓɓukan goshin gaba daban. Lokacin da akwai ruwa, zufa, tabon mai ko kayan shafawa a goshi ko tsofaffi suna da wrinkle, karatun zafin zai zama ƙasa da ainihin. Tabbatar da goshin ba a rufe shi da gashi ko sutura ba.
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