Aerialtronics Pensar Camera & SDK

  • Aerialtronics Pensar Camera & SDK
  • Aerialtronics Pensar Camera & SDK
Producer: Aerialtronics
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PENSAR CAMERA & SDK
Develop and run your AI applications

Need to develop AI application and process real time data?

Create your own AI apps from concept to deployment within few days with 
the AI powered Pensar camera and SDK.

 

Pensar is the fastest, most power-efficient embedded AI computing device: NVIDIA Jetson TX2.

Pensar is a AI powered camera dedicated for professionals and integrates 
Sony 30x zoom HD camera, an IR Flir Boson and a Nvidia Jetson TX2 GPU.

 

 

WHAT IS PENSAR SDK?

 

Pensar SDK is an end-to-end solution for AI application development which includes a Pensar Camera, an API, a dashboard and a SDK.

 

Develop on PC and deploy on Pensar camera

  • Application and GUI development based on Python on top of C++ hardware accelerated libraries.
  • Use the available pre-trained neural networks or import neural network in most common frameworks caffe, darknet and soon tensorrt)


Requirements for developers

‣ Programming languages: Python 3, C++
‣ OS: Linux based operating system (Ubuntu, Mint…)

 

 

ADVANTAGES

 

  • Edge computing (no cloud dependency)
  • Real-time processing: no cloud latency
  • Reduce development costs
  • Simpler and faster developing time
  • Versatility – Cross sector applications
  • Modular SDK
  • Low power consumption

 

 

 

 

 

 

CROSS-INDUSTRY ARTIFICIAL INTELLIGENCE

 

 

 

 

AI APPLICATION EXAMPLES

 

Facial recognition
  • Multiple faces detection and recognition
  • Multiple faces annotations
  • Detected faces can be saved to a permanent database
  • An external faces database can be loaded for recognition
  • Faces to be detected can be sent to Pensar from an external device (i.e. mobile phone)

 

Object detection
  • 80+ objects supported (person, animals, means of transportations, objects of common use, food, plants, etc.)
  • Several kinds of Neural Networks available, with different level of performances
  • Specific actions can be programmed when selected objects are detected (i.e. take a geotagged picture, etc.)

 

 

Car license plate recognition
  • Uses a combination of two neural networks, the first one to detect cars (other vehicles can be added in future) and the second one to detect and recognize car registration plates
  • Optical character recognition is used to extract license number plate. Performances of recognition depend on optimizations specific for each country

 

 

Optical Tracking
  • Any image area can be chosen and tracked on-demand by the user
  • Different tracking algorithms can be used in order to get best results on given scenario
  • Gimbal (if present) is controlled by Pensar to perform physical tracking
  • Supports both optical and thermal camera

 

AI Powered Object Tracking
  • AI is used to automatically detect objects to track (person, car, train, …)
  • User can choose which object to track amongst detected ones
  • Gimbal (if present) is controlled by Pensar to perform physical tracking
  • 30x optical zoom is used to track objects on z axis. Object size is automatically kept constant on screen. Maximum tracking distance up to 200 meters (it depends on object type and size)
  • Limited support for thermal camera but specific neural network can be trained and added in the future

 

 

Thermal detection
  • Object detection based on thermal imaging

(see “Optical detection” above)

 

Thermal tracking
  • Tracking based on thermal imaging

(see “Object detection” above)

 

 

 

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