Bosch NER-L2R5-2 NTSC licence plate camera
Technical Specification
Features:
- Make: Bosch
- Model code: NER-L2R5-2
- Chip Inch Size: 1/3 inch
- Colour Type: Colour / Monochrome
- Resolution: 768 x 494 resolution
Additional info:
The DINION capture 5000 is a specialty camera designed to capture consistent, high-quality images of vehicle license plates. Available in IP and analog versions, it is ideal for monitoring parking lots, public areas, and for controlling vehicle access. The DINION capture 5000 overcomes the problems encountered when using conventional surveillance cameras in vehicle identification and automatic license plate recognition applications
Read more| Make | Bosch |
|---|---|
| Manufacturer | Bosch Security Systems |
| Category | IP Cameras products |
| Model code | NER-L2R5-2 |
|
Chip Inch Size: 1/3 inch Colour Type: Colour / Monochrome Resolution: 768 x 494 resolution Digital (DSP): Digital Specialist Type: Infrared Motion Activated: MotionActivated Focal Length mm: 5 ~ 50 Wide Dynamic Range: WideDynamicRange Picture Elements HxV: 768 x 494 Synchronisation: Internal Signal Mode: NTSC Compression Type: H.264, M-JPEG, JPEG |
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| Electrical Specifications |
Voltage: 11 ~ 30 V DC Power Consumption: 20 W |
| Network Properties |
Image Frame Rate: 30 fps Interface: STP, 10/100 Base-T, auto-sensing, half/ full duplex, RJ45 Network Protocols: RTP, Telnet, UDP, TCP, IP, HTTP, HTTPS, FTP, DHCP, IGMP V2/V3, ICMP, ARP, SMTP, SNTP, SNMP, 802.1x, UPnP |
| Physical Specifications |
Weight g: 4,400 Dimensions mm: 340 x 154 x 139 |
| Environmental Specifications |
Operating Temperature oC: -40 ~ +50 C (-40 ~ +122 F) Operating Humidity %: 0 ~ 100 |
| Additional info | The DINION capture 5000 is a specialty camera designed to capture consistent, high-quality images of vehicle license plates. Available in IP and analog versions, it is ideal for monitoring parking lots, public areas, and for controlling vehicle access. The DINION capture 5000 overcomes the problems encountered when using conventional surveillance cameras in vehicle identification and automatic license plate recognition applications |
| Download PDF version | |
