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v-FOX A0RS

Beyond the thermal camera.

The technological evolution of intrusion detection that goes beyond the thermal camera Security Camera & Radar Doppler FMCW 4D v-FOX A0RS is a new generation device, belonging to a more recent family of multi-technological products dedicated to applications in the world of external physical security. It combines the technological capabilities of the latest generation MFCW doppler radars with those of high-resolution digital cameras to produce a 4D aggregate scenario, analyzed directly on board, in real time by artificial intelligence algorithms. v-FOX A0RS allows you to operate reliable recognitions easily, with superior performance compared to those guaranteed today with normal security products.

Reduction of false alarms

v-FOX A0RS allows you to carry out automatic and extremely reliable security installations, drastically reducing the phenomenon of false alarms and protecting the installation from intrusion attempts with camouflage made with any type of material.i.

24h protection

Using the combination of the two technologies, v-FOX A0RS is able to detect the shape, position and speed of an object in an area, performing accurate day&night detection, in various weather conditions.

Integrated video analysis

Thanks to the integrated analysis developed using machine learning and deep learning, it is able to accurately detect, classify and track people and vehicles with a very low rate of false alarms.
  • 4D Advanced Doppler Radar MFCW 66-77 GHz
  • Integrated multi-technology radar-video tracking
  • Integrated 2/8 Mpx Color @ 30fps camera to support tracking vehicles – people in the scene
  • Integrated image and radar signal processing software in neural technology
  • Object classification with recognition of animals, people, machines, heavy vehicles
  • Operating distance 15-80 m
  • Synthetic orientation of the radar beam to adapt it to the installation geometry
  • Horizontal synthetic opening up to 70°
  • Vertical synthetic opening up to 70°
  • Integrated product configuration web user interface
  • Max number of objects detected simultaneously: 64
  • 128GB SSD internal storage option
  • Day-night recognition of people, vehicles, heavy vehicles, animals
  • PoE power supply
  • Possibility of having multiple products work simultaneously in the same or adjacent areas

Maximize security and reduce false alarms with radar detection, classification and video monitoring

The most effective security solutions rely on a strategic combination of technologies (cross-technology approach) to achieve the best results. Each technology plays its own specific role and offers advantages that can compensate for the disadvantages of the other and vice versa. By adding together the characteristics of the Radar and those of the video analysis we obtain a hybrid device capable of detecting intrusions both day and night, capable of providing images and automatic classifications of the intruders during the day and at night as long as the scene is illuminated with at least 15 Lux.
Subjects moving in the scene are detected even with camouflage of any shape and material, subjects covered by aluminum sheets, etc. However, all this with zero false alarms; lights, shadows, radar ghost signals, swaying vegetation, swaying fences, etc. are filtered by the lack of double simultaneous confirmation of the two technologies.

Video analytics prevents false alarms from radar

The radar excludes false video analysis alarms

Video analysis avoids the classic false alarms from radar noise

Why add a Radar-Camera for perimeter protection?

Radar gives security managers more time to react to intrusion activity. The v-FOX radar camera adds a critical layer of security within a perimeter intrusion detection system by integrating visible light security cameras with radar technology.

Cascaded perimeter coverage

Perimeter layouts

External roofing of building

Back to back system

Perché scegliere Vigilate?

Un partner a 360°

Vigilate produce tecnologie e dispositivi professionali, mettendo a disposizione del Cliente un team di professionisti sempre pronti a fornire un servizio di assistenza tempestiva e integrata.
Vigilate produce tecnologie e dispositivi professionali, mettendo a disposizione del Cliente un team di professionisti sempre pronti a fornire un servizio di assistenza tempestiva e integrata.

Ricerca e sviluppo

Il reparto di ricerca e sviluppo, composto da un team giovane e dinamico, seleziona e sviluppa soluzioni dalle alte performance in grado di rispondere a ogni esigenza di sistema e di integrazione.
Il reparto di ricerca e sviluppo, composto da un team giovane e dinamico, seleziona e sviluppa soluzioni dalle alte performance in grado di rispondere a ogni esigenza di sistema e di integrazione.

Supporto tecnico

Vigilate supporta i propri partner con un servizio online e on-site, fornendo assistenza minuziosa sia dal punto di vista tecnico che commerciale. Contattaci per richiedere supporto tecnico.
Vigilate supporta i propri partner con un servizio online e on-site, fornendo assistenza minuziosa sia dal punto di vista tecnico che commerciale. Contattaci per richiedere supporto tecnico.

Certificazioni

ISO 9001:2015 per il Sistema di Gestione per la Qualità Vigilate, insieme a certificazioni di rilievo quali ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018.

ISO 9001:2015 per il Sistema di Gestione per la Qualità Vigilate, insieme a certificazioni di rilievo quali ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018 e Uni 10772 classe A.
Animal detection

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.

Cross line

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.

Intrusion

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.

Motion detection

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.

Blind

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.

Animal detection

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.

Cross line

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.

Intrusion

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.

Motion detection

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.

Blind

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.

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