| STP A0RT is the device designed to be integrated into SmaTekPole, belonging to a brand new family of multi-technological products dedicated to applications in the traffic world that combine the technological capabilities of the latest generation radars and those of digital cameras with high resolution. |
| Everything is analyzed and managed by specific artificial intelligence algorithms aimed at guaranteeing absolutely reliable and timely object recognition and tracking functions. STP A0RT mounted on the pole SmaTekPole allows to operate traffic detection installations on 2 lanes with single or double traffic directions. |
| The latest generation synthetic radar allows an extremely more accurate definition of the 3D image than that made available by traditional 24GHz devices. The opening and orientation of the lobe are managed synthetically via software and allow the device to be perfectly adapted to the installation scenario in which it is used. |
| The camera allows you to validate the radar tracking, the classification of vehicles and also allows you to eliminate the noise of the scene (echo) that sometimes disturbs the radar making it inaccurate both approaching and moving away. The accuracy of the speed detection of vehicles passing through the scene is less than 1% up to 250 KM / h. |
| The combined union of the two technologies present in the STP A0RT device allows to significantly improve the reliability of the detections compared to traditional installations, thus obtaining solid and effective applications. |
Please note that the technical data, information and images contained in this document are for reference only. Vigilate S.r.l. reserves the right to change the data, drawings and information here at any time and without notice contained.
All trademarks belong to their respective owners; third-party trademarks, logos, product names, trade names, corporate and company names mentioned are trademarks owned by their respective owners or registered trademarks of other companies and have been used for explanatory purposes only, without any intent to violate the Copyright rights.
Please note that the technical data, information and images contained in this document are for reference only. Vigilate S.r.l. reserves the right to change the data, drawings and information here at any time and without notice contained.
All trademarks belong to their respective owners; third-party trademarks, logos, product names, trade names, corporate and company names mentioned are trademarks owned by their respective owners or registered trademarks of other companies and have been used for explanatory purposes only, without any intent to violate the Copyright rights.
Animal detection uses algorithms to identify and track animals within your footage. It employs techniques such as object recognition, motion detection and machine learning to distinguish animals from the background while reducing false alarms in modern security and video surveillance systems.
Automatic software for the detection of objects (blobs) that cross virtual alarm lines defined within the scene captured by a camera. The algorithm is able to control the crossing of virtual lines in both directions and generate different notifications for each of them (event, warning, alert type notifications). The demarcation lines of the areas are broken in order to adapt them perfectly to the area that you intend to delimit with the analysis tool.
Automatic neural scene learning software for the shape-based classification of objects affecting an alarmed area. This algorithm allows you to discriminate the exact nature of objects moving in a scene in order to diversify reaction strategies based on the type of object recognized and reduce false alarms.
Automatic software for the identification of moving objects (blobs) in the scene framed by the camera, with analysis of the shape, center of gravity, temporal tracking and color histogram of the object under investigation. It employs background modeling techniques with continuous learning of the reference scene.
The anti-masking algorithm uses algorithms to identify obscured areas and attempts to sabotage the device, preventing potential criminal activity and vandalism and improving the effectiveness of surveillance.
| HW features | |
| Processor | QuadCore ARM 1,2GHz |
| Neural | Neural graphic co-processor |
| Memory | Ram 4GB, Flash 8GB |
| Transmit frequency | 66 - 77 GHz |
| Bandwidth | Selectable from 1-250 MHz |
| Output power (EIRP) | EIRP Adjustable P.out 8 -20 dBm |
| Phase noise | @1KHz -63 dBc/Hz |
| Noise figure | @100KHz SSB 11 - 17 dB |
| Antenna | System Antenna Pattern (10dB) |
| Azimut | +/-12 - +/-15 deg. |
| Elevation | +/-7 - +/-10 deg. |
| LAN and ports | Ethernet Port, RS485 Port |
| Optical group | |
| Camera | Integrated 2 Megapixel colour 60fps |
| Lens | Fixed S type |
| SW features | |
| Streaming | Configurable real-time H264 ONVIF S profile |
| General characteristics | |
| Dimensions | (h/l/w) 120x180x90 mm |
| Weight | 0,7 Kg. approx. |
| Power Supply | |
| Power Supply | 9-36 Vdc - 5W or POE |
| General characteristics | |
| Operating temperature | -20° + 60°C |
| Protection | IP67 |
| Certifications | ETSI 300/440 compliant with 50MHz bandwidth |
Please note that the technical data, information and images contained in this document are for reference only. Vigilate S.r.l. reserves the right to change the data, drawings and information here at any time and without notice contained.
All trademarks belong to their respective owners; third-party trademarks, logos, product names, trade names, corporate and company names mentioned are trademarks owned by their respective owners or registered trademarks of other companies and have been used for explanatory purposes only, without any intent to violate the Copyright rights.
Please note that the technical data, information and images contained in this document are for reference only. Vigilate S.r.l. reserves the right to change the data, drawings and information here at any time and without notice contained.
All trademarks belong to their respective owners; third-party trademarks, logos, product names, trade names, corporate and company names mentioned are trademarks owned by their respective owners or registered trademarks of other companies and have been used for explanatory purposes only, without any intent to violate the Copyright rights.
| HW features | |
| Processor | QuadCore ARM 1,2GHz |
| Neural | Neural graphic co-processor |
| Memory | Ram 4GB, Flash 8GB |
| Transmit frequency | 66 - 77 GHz |
| Bandwidth | Selectable from 1-250 MHz |
| Output power (EIRP) | EIRP Adjustable P.out 8 -20 dBm |
| Phase noise | @1KHz -63 dBc/Hz |
| Noise figure | @100KHz SSB 11 - 17 dB |
| Antenna | System Antenna Pattern (10dB) |
| Azimut | +/-12 - +/-15 deg. |
| Elevation | +/-7 - +/-10 deg. |
| LAN and ports | Ethernet Port, RS485 Port |
| Optical group | |
| Camera | Integrated 2 Megapixel colour 60fps |
| Lens | Fixed S type |
| SW features | |
| Streaming | Configurable real-time H264 ONVIF S profile |
| General characteristics | |
| Dimensions | (h/l/w) 120x180x90 mm |
| Weight | 0,7 Kg. approx. |
| Power Supply | |
| Power Supply | 9-36 Vdc - 5W or POE |
| General characteristics | |
| Operating temperature | -20° + 60°C |
| Protection | IP67 |
| Certifications | ETSI 300/440 compliant with 50MHz bandwidth |
Please note that the technical data, information and images contained in this document are for reference only. Vigilate S.r.l. reserves the right to change the data, drawings and information here at any time and without notice contained.
All trademarks belong to their respective owners; third-party trademarks, logos, product names, trade names, corporate and company names mentioned are trademarks owned by their respective owners or registered trademarks of other companies and have been used for explanatory purposes only, without any intent to violate the Copyright rights.
Animal detection uses algorithms to identify and track animals within your footage. It employs techniques such as object recognition, motion detection and machine learning to distinguish animals from the background while reducing false alarms in modern security and video surveillance systems.
Automatic software for the detection of objects (blobs) that cross virtual alarm lines defined within the scene captured by a camera. The algorithm is able to control the crossing of virtual lines in both directions and generate different notifications for each of them (event, warning, alert type notifications). The demarcation lines of the areas are broken in order to adapt them perfectly to the area that you intend to delimit with the analysis tool.
Automatic neural scene learning software for the shape-based classification of objects affecting an alarmed area. This algorithm allows you to discriminate the exact nature of objects moving in a scene in order to diversify reaction strategies based on the type of object recognized and reduce false alarms.
Automatic software for the identification of moving objects (blobs) in the scene framed by the camera, with analysis of the shape, center of gravity, temporal tracking and color histogram of the object under investigation. It employs background modeling techniques with continuous learning of the reference scene.
The anti-masking algorithm uses algorithms to identify obscured areas and attempts to sabotage the device, preventing potential criminal activity and vandalism and improving the effectiveness of surveillance.
| STP A0RT is the device designed to be integrated into SmaTekPole, belonging to a brand new family of multi-technological products dedicated to applications in the traffic world that combine the technological capabilities of the latest generation radars and those of digital cameras with high resolution. |
| Everything is analyzed and managed by specific artificial intelligence algorithms aimed at guaranteeing absolutely reliable and timely object recognition and tracking functions. STP A0RT mounted on the pole SmaTekPole allows to operate traffic detection installations on 2 lanes with single or double traffic directions. |
| The latest generation synthetic radar allows an extremely more accurate definition of the 3D image than that made available by traditional 24GHz devices. The opening and orientation of the lobe are managed synthetically via software and allow the device to be perfectly adapted to the installation scenario in which it is used. |
| The camera allows you to validate the radar tracking, the classification of vehicles and also allows you to eliminate the noise of the scene (echo) that sometimes disturbs the radar making it inaccurate both approaching and moving away. The accuracy of the speed detection of vehicles passing through the scene is less than 1% up to 250 KM / h. |
| The combined union of the two technologies present in the STP A0RT device allows to significantly improve the reliability of the detections compared to traditional installations, thus obtaining solid and effective applications. |
Please note that the technical data, information and images contained in this document are for reference only. Vigilate S.r.l. reserves the right to change the data, drawings and information here at any time and without notice contained.
All trademarks belong to their respective owners; third-party trademarks, logos, product names, trade names, corporate and company names mentioned are trademarks owned by their respective owners or registered trademarks of other companies and have been used for explanatory purposes only, without any intent to violate the Copyright rights.
Sede Legale e operativa:
Via Napoleonica, 6 – 25086
Rezzato BS Italy
