Description: Reminder: > APP: Danale ( IOS,Android), support download by QR code> Search Tool：SADP (HIKVISION)> This camera (not Hikvision brand model ) can be plug &play with Hikvision NVR>If there is any problem with use, please contact with us at any time.we have very professinal engineer, can help you set online. >We are serious eBay seller and aiming to do long-term business with every customer based on Honesty, credibility and mutual trust. Product Features: PG2355I 5MP HD Network Camera · 1/2.8” 5Megapixel Sony CMOS· Ultra low illumination 0.004Lux· Day/Night(ICR), Ultra DNR· Max. 15fps@5MP,20fps@4mp· H.265/H.264 dual-stream media server· Support PoE· Compatibility: HIKVISION,ONVIF，RTSP· Multi web browser, PC Client, mobile APP remote access· IP67 waterproof Product Parameter:
Price: 35 USD
Location: Oakland Gardens, New York
End Time: 2024-10-30T09:15:45.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money back or replacement (buyer's choice)
Model: PG2355I
Maximum Resolution: 2592 x 1944
Country/Region of Manufacture: CHINA
Surveillance Technology: IP/Network
Location: Indoor/Outdoor
Connectivity: Wired
Type: Turret
Features: Plug&Play with Hikvision NVR, Waterproof, Built-in MIC
Lens: 2.8mm
Basic Event: Motion Detection
IR Distance: 30m
Brand: Hitosino
Manufacturer Warranty: 3 years
Number of Cameras Included: 1
Color: White
Color Mode: Color Day, B&W Night
Compatible Brand: Hikvision
Image Sensor: 1/2.8” 5Megapixel progressive scan Sony CMOS
Video Compression: H.265+,H.265,H.264
Network Interface: 1 RJ45 10 M/100 M Ethernet, PoE
Power: 12 VDC
Protection Level: IP67
MPN: PG2355I
Reminder: plug &play with Hikvision NVR
Megapixels: 5 MP
Material: Aluminum alloy
Client: SADP, Danale, Blue Iris , ISpy
API: ONVIF (Profile S, Profile G, Profile T),HIKVISION
Image Enhancement: 3D DNR, EIS, Regional Exposure, Privacy Mask, Mirror
Day & Night: IR Cut Filter
