Vulture is an Early Fire Detection solution developed by Seitech using computer vision
What is Vulture ?
Vulture is an Early Fire Detection solution developed by Seitech using computer vision. Its aim is to assist in the early detection of any onset of fire or smoke in a natural environment by using a computer vision algorithm specifically trained for this purpose
How it works
Unlike traditional smoke detection systems, this computer-vision-based fire detection system uses surveillance cameras and image-processing algorithms to detect changes in light that may indicate the presence of a fire
Strategic Camera Installation
Placement of cameras at key locations for optimal monitoring.
Neural Network for Fire Detection
Configuration of AI on cameras for continuous fire monitoring.
Custom Alarm Configuration
Adjustment of alarm settings and notification methods through an intuitive interface.
Immediate Fire Detection
The AI rapidly identifies smoke and fire.
Alert & Evidence Delivery
When a fire is detected, alarms and image captures are sent to a control centre.
Alert Management from the Control Centre
Review and response to alarms directly from the central control platform.
SOLUTION COMPONENTS
01
Neural Networks
The solution’s neural network is based on a proprietary algorithm specifically developed and trained to detect smoke and fire with the aim of identifying wildfires in their earliest stages.
The algorithm’s confidence level can be adjusted according to the season, weather conditions and fire-risk level.
The model has been specifically designed to detect the earliest phases of a fire.
02
Alerts & Notifications
The combination of the algorithm with an alerts and notifications system enables rapid action, allowing teams to respond immediately to any event.
The alerts system is fully configurable, both in terms of communication channels (phone call, SMS, WhatsApp, Telegram) and alert parameters (algorithm confidence level, detected frames, etc.), as well as recipients.
Configurable parameters include:
- Algorithm sensitivity
- Alarm recipients
- Type of notification (SMS, Email…)
- Alert content (Camera name, location, webcam link…)
- Alert status
- Temporary deactivation of the alert
03
Management Platform
With different user roles and permissions, the platform provides a complete overview of the solution in operation, as well as direct access to each camera, detection logs, and the status of all alerts sent.
- Live access to each camera
- Detection history and logs
- Alert management status
- Multiple user roles and permission levels
Key Features
With different user roles and permissions, the platform provides a complete, real-time overview of the solution in operation, including direct access to each camera, detection history and the status of the alerts issued.
Ease of Use
Forest rangers are experts in forestry—not IT.
With this in mind, we ensure that the user never has to worry about the complexity of the tool. The platform is intuitive, simple to operate and designed so that using it is never a burden.
Integrability
Although our capabilities allow the deployment of a full end-to-end solution, the system is also designed to make use of and integrate seamlessly with existing cameras, tools and systems already in place.
Scalability
The solution is conceived with scalability in mind—both in terms of the number of cameras and in the overall scope of the deployment—ensuring it can grow as operational needs increase.
The main benefits of this solution are the following
- It can detect fires in real time, even when no personnel are present in the protected area.
- The system is less prone to errors or false alarms, helping reduce costs associated with downtime and unnecessary evacuations.
- It can detect fires in hard-to-reach locations or very large areas, where it would be difficult for a human to identify the fire in time.
- It reduces the risk of material and personal damage by enabling a fast and effective response as soon as fire is detected.
- It represents a strong commitment to technological innovation on the part of public administrations.
Moreover, the solution is fully non-intrusive:
Maximum Discretion
Seitech focuses on discretion, using non-intrusive cameras that are only noticeable through signage.
No Image Storage
Images are generally not stored, except in specific cases where they are saved in the client’s own repositories.
Data Security
All data is processed on AWS servers, ensuring compliance with privacy regulations and providing encrypted, secure data management.
Anonymisation Filter
We apply filters that obfuscate faces, maintaining anonymity and ensuring secure image processing at all times.
Frequently Asked Questions
Yes. The solution is compatible with any camera that provides an IP address or RTSP protocol, allowing you to reuse your current infrastructure.
Of course, it will depend on visibility at any given moment, but it usually ranges between 1,000 and 3,000 hectares
The solution is scalable both in terms of the number of cameras (we are fully prepared at a logistical and computational level) and in terms of capability, expanding detection features with additional algorithms.
Alert processing and configuration can be set up within a few days (depending on the number and type of cameras). The platform setup, including style guidelines and parameter configuration, takes approximately one month. The fully operational tool — including training sessions — will be ready in under three months.
Our solution can be integrated with different data sources (AEMET, Xeocode…) as well as with the administration’s own tools and systems. The only requirement is having the appropriate API documentation.
Yes, false alarms can occur. We always prefer a false alarm to a “missed detection”, but ad hoc training of the algorithm helps minimise them.
Additionally, the neural network’s confidence parameters allow its sensitivity to be adjusted according to weather conditions and fire-risk levels.