en:ms_main:tms-8-3s
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en:ms_main:tms-8-3s [2020/05/20 15:45] – created marjan_strnad | en:ms_main:tms-8-3s [2021/12/12 14:24] (current) – marjan_strnad | ||
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- | ====== | + | ====== |
- | + | ||
- | **Body | + | |
<WRAP column 325px> | <WRAP column 325px> | ||
- | {{: | + | {{: |
</ | </ | ||
Line 11: | Line 9: | ||
<WRAP column 430px> | <WRAP column 430px> | ||
- | | Model number: ^ TMS-8-3S | | + | | Model number: ^ TMS-8-4S | |
+ | | Connects to: ^ 4S IoT Linker | ||
+ | | IP rating: | ||
\\ | \\ | ||
Line 18: | Line 18: | ||
* Mask wearing check | * Mask wearing check | ||
* Face recognition | * Face recognition | ||
+ | * Indoor/ | ||
</ | </ | ||
<WRAP clear></ | <WRAP clear></ | ||
- | \\ | ||
- | ===== Features ===== | ||
- | • Support real time live detection | ||
- | • Support body temperature measurement and high temperature alarm | ||
- | • Support temperature data interface protocol docking | ||
- | • Support tracking of personnel movements under strong backlight conditions | ||
- | • Unique live face recognition algorithm to accurately recognize faces, face recognition time is less than 0.5s | ||
- | • Using Linux operating system, better system stability | ||
- | • The camera uses H.265 Main Profile encoding, compatible with NVR and other storage devices through the ONVIF protocol | ||
- | • Support TF card storage, pictures are stored continuously for 1 year or longer (depends on TF card capacity) | ||
- | • Mean time between failures MTBF> | ||
- | • IP65 waterproof and dust proof | ||
- | • Support 24,000 face matching library and 160,000 face recognition records | ||
- | • Rich interface protocol, support TCP/IP, UDP, RTP, RTSP, RTCP, HTTP, DNS, DDNS, DHCP, SMTP, UPNP, MQTT protocol, Windows/ | ||
- | • Built-in light sensor, automatically adjust the opening and closing of the fill light | ||
- | • Rich hardware interface (I/O, WG26, WG34, RJ45, USB, RS485) | ||
- | • 8-inch IPS full-view HD display, no streaking and delay | ||
- | • Support automatic gain control and automatic white balance | ||
- | • 3D noise reduction and fog-passing technology makes the monitoring picture under low illumination more clear | ||
- | • Support code stream and I frame interval setting | ||
- | • Support video area partial blocking | ||
- | • Support ROI coding | ||
- | • Support setting maximum exposure time | ||
- | • Support 2D noise reduction, 3D noise reduction | ||
- | • Support recording schedule time period and upload mode setting | ||
- | • Support video brightness, contrast, hue, saturation, gamma adjustment | ||
- | • Support setting the maximum auto exposure time | ||
- | • Support face intelligent exposure, face smart enhancement settings | ||
- | • Support QR code scanning | ||
- | • Temperature measurement accuracy ±0.3℃ | ||
- | • Resolution 0.1℃ | ||
- | • Temperature measurement distance ≤30cm | ||
- | • Response time 300ms | ||
- | |||
- | \\ | ||
<WRAP pagebreak></ | <WRAP pagebreak></ | ||
- | ===== Installation instruction | + | ===== Features |
- | + | * Support real time live detection | |
- | * Do not install the detector at position which faces direct or reflected sunlight or near windows with direct car headlight. | + | * Support body temperature measurement and high temperature alarm |
- | + | * Support temperature data interface protocol docking | |
- | * Ensure that there are no obstructions | + | * Support tracking of personnel movements under strong backlight conditions |
- | + | * Unique live face recognition algorithm to accurately recognize | |
- | * Avoid locating | + | * Linux operating system |
- | + | * The camera uses H.265 Main Profile encoding, compatible with NVR and other storage devices through the ONVIF protocol | |
- | * Install | + | * Support TF card storage, pictures |
- | + | * Mean time between failures MTBF>50,000 H | |
- | * PIR detector is more sensitive to the motions “across” the detection zones than “toward” or “away”. | + | * IP65 waterproof and dust proof |
+ | * Support 24,000 face matching library and 160,000 face recognition records | ||
+ | * Rich interface protocol, support TCP/IP, UDP, RTP, RTSP, RTCP, HTTP, DNS, DDNS, DHCP, SMTP, UPNP, MQTT protocol, Windows/ | ||
+ | * Built-in light sensor, automatically adjust | ||
+ | * Rich hardware interface (I/O, WG26, WG34, RJ45, USB, RS485) | ||
+ | * 8-inch IPS full-view HD display, no streaking and delay | ||
+ | * Support automatic gain control and automatic white balance | ||
+ | * 3D noise reduction and fog-passing technology makes the monitoring picture | ||
+ | * Support code stream and I frame interval setting | ||
+ | * Support video area partial blocking | ||
+ | * Support ROI coding | ||
+ | * Support setting maximum exposure time | ||
+ | * Support 2D noise reduction, 3D noise reduction | ||
+ | * Support recording schedule time period and upload mode setting | ||
+ | * Support video brightness, contrast, hue, saturation, gamma adjustment | ||
+ | * Support setting | ||
+ | * Support face intelligent exposure, face smart enhancement settings | ||
+ | * Support QR code scanning | ||
+ | * Temperature measurement accuracy ±0.3℃ | ||
+ | * Resolution 0.1℃ | ||
+ | * Temperature measurement distance ≤30cm | ||
+ | * Response time ≤300ms | ||
\\ | \\ | ||
- | ===== Range and detection pattern ===== | + | <WRAP pagebreak></ |
- | {{: | + | ===== Dimensions ===== |
+ | {{: | ||
- | ===== Technical specifications | + | ===== Mounting brackets |
- | | Power supply | 24 VDC| | + | |
- | | Temperature | | + | |
- | | Range | 7 m| | + | |
- | \\ | + | {{:en:ms_main:tms_brackets.jpg? |
- | ===== Terminals ===== | + | |
- | | Power supply | + | |
- | | ::: | + | |
- | | HIQ digital input ^ Out | Red | | + | |
- | + | ||
- | \\ | + | |
<WRAP pagebreak></ | <WRAP pagebreak></ | ||
- | ===== Dimensions | + | ===== Horizontal mounting |
- | {{: | + | {{: |
- | ===== Mounting | + | ===== Wall mounting |
- | {{: | + | {{: |
- | {{: | + | 1.After determining the installation height of the device, fix the wall bracket to the wall |
- | {{: | + | 2.Insert the corresponding area on the back of the device into the bracket on the wall |
- | 1. Separate | + | 3.Align the hole of the wall bracket to hang the unit and pull it down slightly to stabilize it |
- | 2. Pull the wires through the hole in the middle of the bottom-stand. | + | 4.After connecting |
- | 3. Fix the bottom-stand on the selected location with two screws as shown on the drawing. | + | <WRAP pagebreak></ |
- | 4. Connect the wires. | + | ===== Interfaces ===== |
- | 5. Fix the sensor body on the bottom-stand and turn anti-clockwise. | + | {{: |
+ | {{: | ||
en/ms_main/tms-8-3s.1589989508.txt.gz · Last modified: 2020/05/20 15:45 by marjan_strnad