Portable Under Vehicle Scanner UVSS
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HB 7022 LR License Plate Recognition Camera
License Plate Recognition Camera (LPR), HAWKBERG HB7022 LR is metal body IR bullet camera designed for license plate recognition. The embedded module enables to recognize number plates without use of extra expensive software’s. The housing is made of high quality aluminum with an ingress protection rating 67(IP67), so can resist environmental changes with protection against water jets & dust. The special glass is used for IR anti-reﬂection hence the images are free from ﬂare & ghost. The built-in smart IR has the capacity to reach distances exceeding 120 Meters at 0 lux conditions. Designed with the wide dynamic range capability of 140dB, the picture quality is extra clear at any variation of the external light sources. H.265 video compression helps in reducing the ﬁle size & bandwidth hence enhances the speed followed by triple video streaming function. HB7022 uses 12 x optical zoom with vari-focal lens 5.3~64mm. Network port compliant with 802.3af (IEEE802.3) is used, power consumption less than 11 watt.
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Under Vehicle Inspection Portable HB7010UVSSP
Under Vehicle Inspection Portable, HAWKBERG HB 7010 UVSS P is the temporary easy to deploy under vehicle inspection system, designed to be robust and tough to withstand all the rapid changes around. The components involved in the design of this unit are chosen with extra care to be tough and durable. The deployment of this unit makes life easy for all the security staff. The crystal clear images make it easy to analyse all the threats that may arise due to any criminal activity. The cameras detect the threats very easily at the considerable fast speeds without any image delay or blur. With an optional features, we can integrate automatic number plate recognition cameras, face recognition camera, access controls with the unit to control & analyse all using the software at main server of unit.
The images generated by the cameras are stored in the recording unit and can be retrieved, searched or compared with the stored images in the database for the analysis of the threat identification and report at any time.