PNO-A6081R, 2MP Anti Vandal, AI, IR Bullet Camera

PNO-A6081R, 2MP Anti Vandal, AI, IR Bullet Camera

PNO-A6081R is the latest AI Wisenet camera format with a dome type design and many other smart features.  

Main Features 

• 1/2.8" 2MP CMOS
• Color : 0.02Lux(F1.2), BW : 0Lux(IR LED on)
• Auto(ICR) Day Night
• 120dB WDR
• Support(built-in gyro sensor)
  
• Object detection (Person/Vehicle/Face/License plate), Audio detection, Sound classification
• People counting, Queue management, Heatmap
• H.265, H.264, MJPEG Video Compression
• 2MP/60fps Framre Rate
• WiseStream II
  
• Up to 3 profiles Streaming
• ONVIF Profile S/G/T SUNAPI(HTTP API) Wisenet open platform
• PoE+ : Max 24.50W, typical 20.00W 12VDC : Max 20.50W, typical 16.00W
  

Wisenet 7 ChipCombines The Technology To See With The Intelligence To Understand

With Wisenet 7 Chip, cameras are now starting to recognize objects. They can describe what is in the image as distinguishable and searchable objects.
With the artificial intelligence Wisenet AI cameras, the objects in the image can be classified, their movements can be perceived, the data related to a particular piece can be recorded and searched as metadata.
In this way, you can say "there is no restriction on pedestrian crossing but the vehicles cannot cross in that direction". Or you can search on the central Video Management Software to find people in the image, people with glasses, etc.

New deep learning based technology

False alarm reduction through Wisenet’s deep learning based algorithm, which supports object classification. It can discard waving trees, video noise, raining, moving shadow, irreverent objects (dog, plastic bag, etc).

New Object Detection

• New event based on the AI algorithm
• Detection of four object types simultaneously (Person/Vehicle/Face/License plate)
• Real-time event trigger (new SUNAPI protocol)

Attributes for forensic search

• AI camera sends metadata including attributes of objects, coordinates information and setting value to backend server
• Person, Face, Vehicle category and so on
  

Real-time object Image capture for re-identification

• BestShot: Best crop image of “Person, Vehicle, Face, License plate” in the scene
• JPEG snapshot type, select option
• This function helps to load distribution of backend server
• Useful with license plate analyzing or face analyzing server