GRUNDIG SECURITY - Professional Video Surveillance and CCTV Solutions

GD-CI-BT8537TH

8 MP IP-Camera 2.8~12 mm

Deep Learning - Human and Vehicle Analysis: Self learning human and vehicle classification improves unwanted alarm filtering
Built in analytics function: Detection of line crossing, intrusion, region entrance, region exit, object removal, unattended baggage, face and scene change included
Motorized Varifocal Lens: f = 2.8 - 12 mm
H.265/H.265+, H.264/H.264+ & MJPEG compression modes
Bidirectional Audio Support
0 Lux: Integrated LED IR Illuminator viewable distance up to 60m
Management platform for 3rd party APPs

GD-CI-CT8637T

8 MP IP-Camera 8~32 mm

Deep Learning - Human and Vehicle Analysis: Self learning human and vehicle classification improves unwanted alarm filtering
Deep Learning - Person comparison: supports the comparison in real time of persons with face pciture library. Search target people by picture and name features.
P-Iris:system to give precise control over the iris opening
Recognition of several target types - through the embedded deep learning algorithms (AI), the camera recognizes and records a person's face and body and gives several features such as: E.g. gender, age and whether a mask is worn.

GD-CI-AT12637T

12 MP IP-Camera 8~32 mm

12 Megapixel IP Camera with 4K UHD real time streaming
Face Counting - allows people to be counted with the integrated deep learning algorithm (AI) and to compare them with images from the integrated library.
Protective helmet detection - with the embedded deep learning algorithms (AI), the camera detects people in the specified area and whether the Person wearing a hard hat. An alarm can be triggered if the obligation to wear hard hats is not observed.
Recognition of several target types - through the embedded deep learning algorithms (AI), the camera recognizes and records a person's face and body and gives several features such as: E.g. gender, age and whether a mask is worn.

GU-CI-AP5647P

5 MP PTZ IP-Camera 33x Zoom

Reduction of unwanted alarms (false alarms) by classifying target objects using deep learning algorithms. This significantly reduces false alarms generated by objects other than people or vehicles. This makes finding events easier and saves hard drive capacity
Many AI functions integrated such as face detection, intrusion detection, object counting, queues, heat map and much more