• 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)

• 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

• 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

• • Tracking based on thermal imaging

(see “Optical tracking” above)