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About JARVIS

JARVIS by Staqu Technologies is an AI video analytics platform for security and safety monitoring. It uses computer vision to detect intrusions, perimeter breaches, loitering, crowd formation, abandoned objects, and violence, while also supporting facial recognition for persons of interest. Retail and healthcare modules add people counting, heat maps, queue management, and fall detection. Integrations with access control and alerts help security teams respond quickly. Key capabilities: AI detection for intrusions, loitering, and violence Facial recognition and person of interest tracking Fire, smoke, and abandoned object alerts Crowd analytics, heat maps, and queue monitoring Integration with access control and real time alerts Best for: Organizations using CCTV to improve safety and operational awareness.

JARVIS Details

Vendor
Staqu Technologies
Year Launched
2015
Location
Staqu Technologies, London 17 Gresse Street, Charlotte Building , London, W1T1QL, GB
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
Artificial Intelligence, Iot, Parks And Recreation, Project Management
Users
Artificial Intelligence Researchers, IoT Developers, Park Directors, Project Managers
Industries Served
Retail, Manufacturing, Infrastructure, Hospitality, Smart City, Public Sector, Healthc
Tags
Artificial Intelligence, IoT, Parks and Recreation, Project Management

JARVIS's In-App Market Place

Does JARVIS have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CNY (¥), CHF (CHF), SEK (kr)

Pros & Cons

  • Focus on real-world problems: By focusing on solving impactful real-world problems, Staqu's research is likely to be more relevant and valuable to society.
  • Decoupling big data: Decoupling big data into its constituent elements allows for more granular analysis and the development of more specialized models.
  • Hybrid deep neural networks: Hybrid deep neural networks can combine the strengths of different types of models, potentially leading to more powerful and accurate results.
  • Collaboration with various institutions: Collaborating with government, private, and academic institutions can help Staqu access a wider range of expertise and resources.
  • Complexity: Decoupling big data and developing hybrid deep neural networks can be complex and time-consuming.
  • Data privacy concerns: Working with government and private institutions may raise concerns about data privacy and security.
  • Ethical considerations: The development and use of AI technologies raises ethical considerations, such as bias and discrimination.

JARVIS's Support Options

Email Address

hello@staqu.com

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