PNO-A9311R, 4K AI IR 31x Zoom Bullet Camera
- Stock Status: Shipping in 4-6 Weeks
- Brand: WISENET
- Model: PNO-A9311R
- Weight: 3,200.00g
- Dimensions: 358.70mm x 136.20mm x 136.20mm
- SKU: PNO-A9311R
- HS CODE: 8525809190
- MPN: PNO-A9311R
PNO-A9311R, 4K AI IR 31x Zoom Bullet Camera
PNO-A9311R is the latest AI Wisenet camera format with a bulluet type design and many other smart features. User-defined object detection, Vehicle and Crowd Counting for smarter cities, MQTT for greater connectivity, Slip and Fall detection for rapid response It is the other features of the camera
Main Features
- Maximum 4K resolution
- 6.91~214.7mm (31x) zoom
- IR viewable length 70m(229.66ft)
- 0.075Lux@F1.36 (Color), 0.0075Lux (B/W, IR LED on)
- Day & Night(ICR), WDR(120dB), WiseNRⅡ (Using AI engine), prefer shutter
- H.265, H.264, MJPEG codec, WiseStreamⅡ, WiseStreamⅢ (Using AI engine)
- Object Classification, Attributes and BestShot
- Vehicle counting, Crowd counting, Slip & Fall detection
- Reinforced durability (IP66/IP67, IK10, NEMA4X)
- ONVIF Profile S/G/T/M, SUNAPI(HTTP API), Wisenet open platform
- Next level cybersecurity (TPM with FIPS 140-2 level2)
User-defined object detection
WiseDetector, a machine-learning-based feature, expands the possible object types that can be detected by AI from the more limited set of pre-defined objects (usually people, vehicle and their attributes) to specific objects, such as high-visibility jackets, boxes on a shop floor, or traffic cones blocking a road. This gives security teams greater flexibility and control over what they train the AI model to detect, based on their unique business needs
Vehicle and Crowd Counting for smarter cities
New Crowd and Vehicle Counting features support smarter cities by enabling the smooth flow of people and traffic. The cameras generate metadata that includes real-time people counting to manage potential crowds, for example at stadiums, based on specified timelines. Meanwhile, understanding the number of vehicles on roads and in parking areas can prove useful for city planners. By utilising this data, local administrators can establish plans for road maintenance, routes, as well as use it as an indicator of marketing.
MQTT offers greater connectivity
The MQTT protocol enables P Series cameras to work seamlessly with any number of other sensors in an installation. MQTT enables these cameras to connect with Internet of Things (IoT) devices, expanding the capabilities of the video system to business operations, smart cities, and more.
For example, in a smart city setting, environmental sensors can alert operators to possible smoke in an area, with visual confirmation via the cameras; in response to changing weather or light conditions, cameras can trigger smart street lighting to turn on; and in a built environment, heating or air conditioning can automatically turn on when a person enters, to make the environment more comfortable for them.
Slip and Fall detection for rapid response
With Slip and Fall detection, the cameras use AI to detect people who fall and could be injured, automatically raising alerts to operators. This advances health and safety in warehouses, manufacturing sites, ports, and other logistics centres, enabling a quick response to accidents. For instance, the alert could result in the deactivation of forklifts and other moving equipment, preventing any further harm to an injured person.
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
Covid-19 occupancy monitoring solution works on this camera. Click here for details.
