AXIS Q1615 Mk III combines exceptional imaging and video performance with outstanding hardware and processing capabilities to provide the perfect platform for analytics based on artificial intelligence (AI) with deep learning.
Highly nuanced object classification
This fixed box camera with Q-line functionality and exceptional video quality includes an innovative dual chipset that is the basis for remarkably granular object classification. Axis Object Analytics is preinstalled and the camera’s dual chipset facilitates powerful artificial intelligence with deep learning. This allows AXIS Object Analytics to distinguish between bikes, cars, buses, trucks, and so on. You can decide which vehicles you want to detect and when alarms are triggered, and notifications are sent to security personnel. Basing notifications on recognizing the difference between different kinds of vehicles results in fewer false alarms. So your operators will waste less time responding unnecessarily and they’ll be able to handle more cameras.
Processing right on the camera
The dual chipset allows analytics to run on AXIS Q1615 Mk III (on the edge), so fewer servers are needed for processing. This results in a faster and more scalable system and facilitates complex and powerful analytics. Other benefits include real-time processing and lower costs and complexity. And storage and bandwidth needs, as well as privacy concerns, are reduced because only relevant video is transferred over the network. Furthermore, this fixed box camera fits into Axis T92E20 Outdoor Housing, so it’s easy to add deep-learning capabilities to existing installations.
Endless opportunities with AI
A dual chipset, which combines the proprietary Axis ARTPEC chip with a deep-learning processing unit (DLPU), is the secret behind the exceptional AI-based object-classification capabilities offered by AXIS Q1615 Mk III. This advanced hardware, in combination with the open Axis platform, gives you a unique opportunity to take advantage of tailor-made third-party applications based on AI and classification of humans and objects. Edge-based automatic incident detection, counting and anomaly detection are just a few of the many possibilities. And everything you need is in the camera – so no additional hardware is required.