Thermal Deep Learning Bullet Cameras
Hikvision, the world’s leading provider of innovative video surveillance product and solutions, has free updated versions of its thermal deep learning bullet cameras, which can bring increased capabilities to perimeter security, as well as advanced fireplace detection technology. The new cameras square measure terribly cost-efficient, with not solely deep learning algorithms however additionally a intrinsic GPU to support updated algorithms within the future.
Based on deep learning algorithms, Hikvision’s thermal deep learning bullet cameras deliver powerful and correct behavior analysis, as well as detections like line crossing, intrusion, region entrance and exit. The intelligent human/vehicle detection feature helps scale back false alarms caused by animals, camera shake, falling leaves, or different immaterial objects, considerably up alarm accuracy.
In addition, Hikvision’s thermal deep learning bullet cameras square measure equipped with a intrinsic GPU with advanced imaging process technology, which may produce the most effective thermal imaging results. These superior GPUs will support updates with a lot of advanced algorithms with larger information samples within the future to any improve the intelligent impact of Video Content Analytics (VCA).
Hikvision’s thermal deep learning bullet cameras is employed in a broad vary of perimeter security and fireplace bar solutions, specifically in trade situations like power stations, airports, mines and farms. The new single-screw bracket for the cameras is intended with installers in mind, too. Its tiny size and neat, stable style makes it convenient to put in and regulate the angle freely, either by wall, ceiling or stand mounting.
Currently, the model of Hikvision thermal deep learning bullet cameras square measure available: DS-2TD2137/V1 series. Especially, the thermal infrared detector of this series of cameras is developed and made severally by Hikvision.