icetana AI
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About
icetana AI is a sophisticated surveillance analytics platform that utilizes self-learning algorithms to monitor massive volumes of video footage across large-scale sites. Unlike traditional security systems that depend on manual rule-setting and tripwire drawing, icetana automatically learns the unique patterns of a specific environment. By filtering out background noise and routine activity, the software highlights only anomalies, such as medical emergencies, theft, or unauthorized entry. This approach allows security personnel to act proactively on real-time events rather than sifting through footage after an incident has occurred. The software connects seamlessly to existing video management systems and begins its learning phase immediately upon installation. Its core Safety & Security module serves as the functional foundation for a suite of advanced tools, including License Plate Recognition, Facial Recognition, and GPT-driven Triage Agents. The Triage Agent feature allows operators to use natural language prompts to prioritize specific scenarios, such as detecting weapons or fire within a scene. The system is designed for high efficiency, supporting up to 400 cameras per server, and can be deployed either on-premise in dark-site environments or in the cloud. The platform is primarily designed for high-density environments where manual monitoring of every camera feed is physically impossible. Key industries include mall management, where it helps ensure customer safety and space efficiency, and educational institutions managing large campuses. It is also utilized for safe city projects to improve urban public safety and by guarding services to reduce operator screen fatigue. By focusing attention only on meaningful events, it allows teams to manage vast surveillance networks with significantly fewer resources. What distinguishes icetana is its 'plug-and-play' self-learning architecture that evolves continuously without manual intervention. It adapts to seasonal changes and site modifications automatically, maintaining detection accuracy over time. Additionally, the Forensic Quick Find feature provides a significant investigative advantage by allowing users to click on a person in an event frame to immediately generate a movement trail across the entire site. This functionality dramatically reduces the time required for post-incident investigations and tracking.
Pros & Cons
Self-learning technology requires no manual configuration of tripwires or motion rules.
The system scales to support up to 400 camera feeds per server for large-scale deployments.
Deployment options include secure on-premise dark sites or cloud-based hosting.
Integrated forensic tools allow operators to track a specific person's movement trail across the site instantly.
License Plate Recognition supports both Latin and Arabic scripts for broader international compatibility.
Access to the platform's secure web interface is currently restricted to the Google Chrome browser.
The software does not provide native support for Single Sign-On (SSO) or Multi-Factor Authentication (MFA).
Detection accuracy may be reduced when used with Pan-Tilt-Zoom (PTZ) cameras due to view changes.
The system is focused purely on visual data and does not support audio-based event detection.
Use Cases
Mall security managers can identify medical emergencies or loitering in real-time across hundreds of retail feeds without manual rules.
Municipal safety officers can leverage 'Safe City' features to monitor public urban areas 24/7 for unusual activity patterns.
Forensic investigators can utilize the 'Quick Find' tool to trace a person of interest’s path through a campus by clicking on their image.
Operations teams can use the heatmaps and occupancy analytics to adjust staffing and space planning based on customer dwell times.
Remote guarding service providers can reduce operator screen fatigue by displaying only abnormal events on the Livewall.
Platform
Features
• license plate recognition (lpr)
• multi-site centralized management
• activity and dwell heatmaps
• gpt-driven triage agent prompts
• facial recognition with watchlists
• real-time livewall alert interface
• forensic quick find person tracking
• self-learning anomaly detection
FAQs
How fast does icetana AI respond to events?
Detected events are displayed to operators on the Livewall interface within three seconds of the occurrence. This real-time processing ensures that security teams can react immediately to critical incidents as they unfold.
What languages does the software support?
The platform currently supports English, Arabic, and Japanese. This linguistic compatibility allows international security teams to manage the interface effectively across various global regions.
Does icetana AI work with PTZ cameras?
While technically compatible, it is not recommended for self-learning anomaly detection. When a PTZ camera moves, the AI must relearn the environment, which can temporarily reduce the system's effectiveness.
Is a Video Management System (VMS) required?
No, a VMS is not strictly required as the platform can operate as a standalone AI surveillance solution. However, it is fully compatible with leading VMS platforms like Milestone and Genetec for integrated workflows.
Where is the video data stored?
Data remains securely stored on the user's own servers, and icetana AI cannot access it without explicit permission. This ensures organizations maintain full control over their sensitive video data and privacy.
Pricing Plans
Per-Camera License
Unknown Price• Safety & Security core module
• Scales up to 400 cameras per server
• Self-learning anomaly detection
• Livewall real-time alerts
• VMS integration support
Proof of Concept (POC)
Unknown Price• Trial in real-world environment
• Temporary software license
• System configuration support
• Performance assessment
Job Opportunities
Key Accounts Manager
Enhance large-scale security operations with self-learning AI that filters routine movement to highlight unusual events across thousands of camera feeds instantly.
Education Requirements:
Bachelor's degree in Business, Engineering, IT, or a related field
MBA is a plus
Experience Requirements:
5+ years in enterprise sales, account management, or business development in the Middle East
Proven experience working with AI/ML products, security technologies, or video surveillance solutions
Demonstrated ability to manage long sales cycles and complex solution selling
Other Requirements:
Strong regional network within public sector, large enterprises, and systems integrators
Fluent in English
Arabic language proficiency highly preferred
Excellent communication, negotiation, and interpersonal skills
Responsibilities:
Develop and execute account strategies for key clients
Own and manage the renewal process, ensuring satisfaction and retention
Identify upselling and cross-sell opportunities
Identify and develop new business opportunities through direct engagement and channel partnerships
Act as the primary point of contact for assigned accounts
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HR Coordinator
Enhance large-scale security operations with self-learning AI that filters routine movement to highlight unusual events across thousands of camera feeds instantly.
Benefits:
Training on HR systems provided
Experience Requirements:
5 years HR experience
Experience with HR systems (such as BambooHR) is a bonus
Other Requirements:
Strong administrative and organisational skills with attention to detail
Ability to handle sensitive information with discretion
Excellent communication and interpersonal skills
Ability to work independently (with support and direction)
Responsibilities:
Keep employee records up to date in BambooHR
Own the end-to-end recruitment process
Administer onboarding and offboarding processes
Prepare employment documents including contracts and salary letters
Provide Tier 1 HR support addressing employee queries
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Presales Engineer - Perth Australia
Enhance large-scale security operations with self-learning AI that filters routine movement to highlight unusual events across thousands of camera feeds instantly.
Experience Requirements:
Experience with Video Surveillance Systems concepts (FoV, Frame Rate, etc.)
Hands-on experience in design, installation, and deployment of VMS
Hands-on experience with Video Analytics Systems
Basic Networking knowledge (CCNA certification preferred)
Proficiency with Linux Operating Systems including troubleshooting and scripting
Other Requirements:
Full professional English proficiency
Intermediate proficiency with Office Tools
Availability for occasional international travel
Fundamental understanding of Server Deployment and Configuration
Responsibilities:
Serve as a technical resource for the sales team
Conduct live and recorded demonstrations and POC deployments
Assist customers and system integrators with solution design and hardware sizing
Support System Integrators in responding to tenders and RFPs
Engage with end users and customers to develop projects
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Ratings & Reviews
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