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Smart Thermal Bullet cameras even more sensitive, include new sensors

 

Hikvision has launched a new Thermal Bullet camera (DS-2TD2117) that boasts Deep Learning capabilities and a new sensor that improves the quality of its images. This product brings thermal technology to a lower budget scenario, making it practical for smaller solutions. 

 

 

Developing earlier versions, the DeepinView camera is equipped with a new improved 160 x 120 pixel sensor in the Hikvision family. The camera is also more sensitive – detecting to a noise-equivalent temperature difference (NETD) of 40mk (previous models went to 50mk). NETD is an industry standard measurement of a sensor’s sensitivity to thermal radiation in certain parts of the electromagnetic spectrum.

 

 

Based on deep learning algorithms, the camera also delivers powerful and accurate behavior analysis, including detections such as line crossing, intrusion, region entrance and exit. The intelligent human/vehicle detection feature helps reduce false alarms caused by animals, camera shake, falling leaves, or other irrelevant objects, significantly improving alarm accuracy. In addition, the cameras are equipped with a built-in GPU. This high-performance GPU can support updates with more complex algorithms with larger data samples in the future to further improve the intelligent effect of Video Content Analytics (VCA).

 

 

Other features include:
-    Reliable temperature exception alarm function
-    Advanced fire detection and smoking detection algorithm
-    160 x 120 resolution sensor, high sensitivity sensor, support contrast adjustment
-    Shutter adjustment in various modes
-    3D DNR, 15 palettes of color adjustable, image detail enhancement.

 

 

The camera’s short focal length (3mm or 6mm) makes it a crucial element in smaller perimeter solutions, like yards or car parks for small businesses. Its fire protection capabilities come in handy in solutions like warehouse and rubbish dumps, where avoiding fire is a priority. In essence, this camera can reduce costs, and prevent damage but also, more importantly, can increase safety by detecting potential fires before they happen. 

 

 

“Our R&D Center is 10,000 strong and this is a great example of how they are pushing forward the boundari