CSP AP-HMV Dome camera
Technical Specification
- Make: CSP
- Model code: AP-HMV
- Series: Apollo Series
- Chip Inch Size: 1/3
- Color Type: Monochrome
The stylish low profile design is ideal to view along a wall to avoid blind spots. Due to the units conical shape it is difficult to grip. Cameras are fitted in a unique metal manual pan and tilt cradle, which can be adjusted, to view sideways or up and down. All units are fitted with vari-focal DC Auto Iris lens as standard. Easy to install the Apollo comes complete with 1.8m of power cable with BNC, stainless steel tamper resistant screws and the fixing screws. Ideal for banks, prisons, shops, schools, car parks, airports and post offices.
Read moreMake | CSP |
---|---|
Manufacturer | CSP Technology Ltd |
Category | Video Surveillance>Dome cameras |
Model code | AP-HMV |
Series | Apollo Series |
Chip Inch Size | 1/3 |
Color Type | Monochrome |
Resolution TVL | 600 |
Sensitivity lux | 0.05 |
Dome Type | Variable Focus |
Indoor/Outdoor | Indoor/Outdoor |
Mount Type | Ceiling, Wall |
Electrical Specifications |
Voltage: 12 Power Consumption: 120 |
Focal length | 3.8 ~ 9.5 |
Physical Specifications |
Dimensions mm: 177 (Dia) x 90 Weight g: 1.52 kg |
Environmental Specifications | Protection: IP66 |
Additional info | The stylish low profile design is ideal to view along a wall to avoid blind spots. Due to the units conical shape it is difficult to grip. Cameras are fitted in a unique metal manual pan and tilt cradle, which can be adjusted, to view sideways or up and down. All units are fitted with vari-focal DC Auto Iris lens as standard. Easy to install the Apollo comes complete with 1.8m of power cable with BNC, stainless steel tamper resistant screws and the fixing screws. Ideal for banks, prisons, shops, schools, car parks, airports and post offices. |
Download PDF version Download PDF version |
- See other CSP products
- CSP Surveillance cameras
Related Whitepapers
14 Success Stories About How Video Technology Is Improving City Life
Empowering Cameras With AI
The Rise of Ethical Facial Recognition