Pelco IMPS110-1ERI 1/4-inch Day/night Indoor IP Dome Camera
Technical Specification
- Make: Pelco
- Model code: IMPS110-1ERI
- Chip Inch Size: 1/4
- Color Type: Color / Monochrome
- Resolution TVL: 800 x 600
Pelco IMPS110-1ERI 1/4-inch day/night indoor IP dome camera with autofocus motorized remote zoom lens, integrated adaptive IR illumination, accessible edge storage with micro SD card, motion detection and camera sabotage analytics and standard web browser interface.
Read moreMake | Pelco |
---|---|
Manufacturer | Pelco, Inc |
Category | Video Surveillance>IP Dome cameras |
Model code | IMPS110-1ERI |
Chip Inch Size | 1/4 |
Color Type | Color / Monochrome |
Resolution TVL | 800 x 600 |
Dome Type | Static |
Sensitivity lux | 0.00 |
Digital (DSP) | Yes |
Indoor/Outdoor | Indoor |
Mount Type | In-Ceiling |
Electrical Specifications |
Voltage: 18 ~ 32 V AC Power Consumption: <10.50 W |
Focal length | 2.8 ~ 10 mm |
Rotation Angleso | 360 |
Compression | H.264, MJPEG |
White Balance | Yes |
Electronic Shutter range | 1/5 ~ 1/10,000 sec |
Network Properties |
Interface: 100Base-TX, RJ-45 Network Protocols: TCP/IP, UDP/IP (unicast, multicast IGMP), ICMP, IPv4, SNMP v2c/v3, HTTP, HTTPS, SSL, SSH, SMTP, FTP, RTSP, UPnP, DNS, NTP, RTP, RTCP, LDAP (client), QoS Image Frame Rate: 30 ips |
Physical Specifications | Weight g: 860 |
Environmental Specifications |
Operating Temp oC: –40 ~ +50 C (–40 ~ +122 F) Operating Humidity %: 15 ~ 85 Protection: IP66, IK10 |
System Requirements | Web Browser: Microsoft® Internet Explorer® 8.0 and later |
Additional info |
Pelco IMPS110-1ERI 1/4-inch day/night indoor IP dome camera with autofocus motorized remote zoom lens, integrated adaptive IR illumination, accessible edge storage with micro SD card, motion detection and camera sabotage analytics and standard web browser interface. |
Download PDF version Download PDF version |
You might be interested in these products
Related Whitepapers
14 Success Stories About How Video Technology Is Improving City Life
Empowering Cameras With AI
The Rise of Ethical Facial Recognition