Energy

Real-time analytics specifically developed for the control and safety of production plants and energy treatment substations

Sectors

Energy

 
Perimeter Lockout AI

Perimeter Lockout AI

Perimeter Lockout AI is a flexible and scalable solution based on Deep Learning for professional users

Detects

  • Intrusion.
  • Prowling.
  • Crwaling.
  • Dropped / removed object.
  • Frontier crossing.
  • Stopped vehicle.
  • Vehicle driving against traffic.
Perimeter Lookout AI
Temp Thres-hold

Temp Thres-hold

Thermographic analytic specifically developed to detect temperature oscillations and fire on high flammable scenarios.

Detects

  • Temperature oscillation.
  • Hot Spots.
  • Fire.
Transformer monitor

Transformer monitor

Analytics developed specifically for the analysis and control of overheating of parts in critical machinery. Embedded version available.

Detects

  • Transformer thermal and through-fault monitoring.
  • Temperature oscillation, hotspot, insulation aging acceleration factor, and loss of life.

PPE monitor

PPE monitor automatically detects in real time whether people are wearing personal protective equipment (PPE) by means of video analysis.

Applies to

  • Construction.
  • Factories.
  • Sanitary environments.
  • Laboratories.
  • Mining.
PPE monitor
Facial Recognition - SAFR

Access Control through Facial Recognition

At present, the concern to provide more security to critical or vulnerable facilities is growing. Facial recognition technology is unique in improving the security of access to facilities such as workstations, schools, hospitals, borders or facilities with high-level security.

Detects

  • Facial recognition access control.
  • Employee / staff assistance.
  • Threat detection.
  • Guest check-in.
  • Multi-factor authentication.
  • Smile to unlock.
  • Registration and notifications.
  • Building access control system Integration.
  • Monitoring of common areas.
Facial Recognition Access Control
Facial Recognition - SAFR

SCAN – Biometric Access Control

SCAN is an entirely frictionless experience that allows users to naturally walk to the door, and in real-time use your face as your credentials. SCAN will quickly authenticate you against a database of 20,000 images. It’s simple, intuitive, and secure. SCAN easily integrates with any access control solution which ensures a quick and cost-effective installation.

Characteristics

  • 20,000 user capacity.
  • Can withstand extreme conditions.
  • With Wiegand and OSDP, works with existing access control system.
  • Edge solution for fast and accurate recognition.
  • High throughput.
  • Easy enrollment options.
  • Supports dual or single-factor authentication.
  • Touchless access to doors.
  • Works in extreme lighting conditions indoor/outdoor.
  • Get real-time reporting and auditing.
  • Grant/revoke access instantly.
  • Audio enabled.
  • Reader management configuration software.
Control de Acceso Biométrico Inteligente
Facial Recognition - SAFR

Identity Verification through Facial Recognition

Facial Recognition technology is not only a first level ally for improving the security of venues, but also to increase personal security through identity verification.

Detects

  • Identity verification.
Identity Verification - Facial Recognition
AVA Aware

Ava Aware - VMS

Aware is a powerful cloud-based video management system (VMS) equipped with integrated machine learning and AI capabilities.

AVA - Mapas de calor
Download the spec sheet

Download the spec sheet for our Energy Sector analytics.

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Grekkom News

Shoplifting Detection: Protect Your Business with Grekkom Thief Detector

Shoplifting Detection: Protect Your Business with Grekkom Thief Detector

August 26, 2024

Shoplifting detection is a constant challenge for the retail sector, where loss of merchandise not only affects profits, but also security and customer experience. Implementing an effective solution is essential to protect both the products and the integrity of the business. Grekkom Thief Detector is presented as an advanced and efficient solution to address this […]

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