Frequently Asked Questions
Welcome to SenseNet's FAQ page. For questions not answered here, please do not hesitate to send us an email at: [email protected]
Do the sensor nodes use batteries or solar power?
Our sensor nodes are designed for versatility and energy efficiency. They operate on low power, with batteries that last 5–7 years without compromising performance. Additionally, they support solar power, extending their lifespan to 8–10 years when used alongside batteries. Solar is ideal for remote locations, reducing maintenance and ensuring long-term operation.
How many sensor nodes are required per 10,000 hectares?
In short, it depends. The spacing between sensors is influenced by factors such as topography, vegetation density, and the type of coverage required. We offer both perimeter and mesh installations, which impact sensor placement. Two areas of the same size may require different configurations based on their geomorphological features. The number of sensors is determined on a case-by-case basis, ensuring optimal coverage tailored to the customer’s needs. Typically, they are spaced several hundred meters apart.
What is the installation process for sensor nodes?
The installation process is simple and efficient. Our team can perform site assessments and handle installation, or we can provide guidance for self-installation. Designed for easy deployment across different terrains, each sensor node takes about 15 minutes to install. Once powered on, the sensor automatically connects to the nearest gateway within approximately 3 minutes, seamlessly integrating into the network.
How does the AI-based smoke detection camera work?
The cameras use advanced AI algorithms to analyze video feeds in real time, detecting signs of smoke and fire. By continuously processing visual data in the cloud, the AI establishes a baseline of the landscape, enabling rapid smoke detection and instant alerts to the customer. Additionally, the system can distinguish between smoke and other atmospheric conditions, minimizing false alarms.
Can SenseNet integrate with existing infrastructure?
Yes, SenseNet is built to seamlessly integrate with your existing systems and technologies, enhancing your current wildfire detection and management capabilities.
What is the range of each sensor node?
The range of each FireSense sensor node varies based factors like terrain and vegetation. Sensor nodes in areas with dense vegetation and rolling topography will have a shorter range compared to sensor nodes in flat, open areas. However, the typical range of the sensor nodes cover several hundred meters.
How does SenseNet ensure the accuracy of fire detection?
SenseNet ensures high accuracy in fire detection by combining advanced sensors with AI-driven analytics. We also cross-verify data with camera and satellite feeds, creating a comprehensive approach that strengthens our overall monitoring capabilities.
What kind of maintenance do the sensor nodes require?
Our sensor nodes are designed for minimal maintenance. Housed in durable enclosures, they operate on low power with batteries that last 5–7 years without compromising performance. Additionally, when paired with solar power, the nodes can last up to 8–10 years. Built to withstand various environmental conditions, these robust sensors require very little upkeep.
How does the real-time alert system work?
When a potential fire is detected, the system instantly sends alerts through email, text message, or mobile app notifications. These alerts include important details such as the fire's location, camera snapshots, and sensor data.
Can the system detect wildfires at night or in poor visibility conditions?
Yes, our system is equipped with powerful detection capabilities, whether through sensors or cameras. Our cameras are equipped with infrared imaging and AI algorithms, allowing them to detect wildfires even at night. In conditions of poor visibility, such as rain, fog, or clouds, our sensors are highly sensitive to changes in atmospheric composition, enabling detection without the need for visual confirmation.
Is there a mobile app for monitoring and receiving alerts?
We provide a mobile-friendly browser view for real-time monitoring and alerts, offering our users flexibility and convenience without the need for a dedicated app.
What types of environments are SenseNet products suitable for?
SenseNet products are designed for a wide range of environments and are currently deployed in various settings, including forests, grasslands, encampments, and urban interfaces.
Is the system applicable for purposes beyond wildfire detection?
Although primarily designed for wildfire detection, our system also supports environmental monitoring and emergency response. We've expanded into the mining and cargo ship industries and collaborate with municipalities to enhance urban fire detection in homeless encampments, extending our impact across diverse high-risk environments.
How does SenseNet contribute to environmental conservation?
SenseNet contributes to environmental conservation by enabling early detection and efficient wildfire management, helping to protect natural habitats and wildlife. By reducing the carbon footprint of large-scale fires, it also provides a sense of security and protection for at-risk ecosystems.
What support does SenseNet offer post-installation?
We provide comprehensive post-installation support, including regular software updates, technical assistance, and system optimization to ensure your SenseNet solution remains effective. Our team is dedicated to addressing any evolving needs or challenges you may face. Additionally, you can submit a support request form through our "Contact Us" page for further assistance.
Are the cameras and sensor nodes integrated?
Yes, our cameras and sensor nodes are fully integrated. The cameras complement the sensor nodes by focusing on areas where potential fire events are detected, ensuring a coordinated response. However, they also operate independently, continuously monitoring for wildfire activity without requiring a sensor node trigger. This dual functionality enhances overall detection and reliability.
Do the cameras provide recorded videos and screenshots of events?
No, videos are not recorded or stored in the database. Our cameras provide live-streamed video, while only images of fire events—flagged by the AI algorithm—are saved for analysis and verification. However, customers have the flexibility to choose how their data is stored to address any privacy concerns.
How often does the thermal imaging technology provide images?
If thermal imaging is included in the package, the feature is designed to provide images every 5 minutes, ensuring consistent monitoring and timely detection of heat signatures that are indicative of fires. This capability enhances the overall responsiveness of the system.
What is the sensing interval of the sensor nodes?
The sensing interval of our sensor nodes is adjustable to meet client needs. It can be as frequent as every 30 seconds during fire season or set to several minutes during lower-risk periods, such as winter, to help conserve battery life.
Can the sensor nodes function in extreme weather conditions?
Yes, our sensor nodes are built to withstand extreme weather conditions. They are waterproof and can resist temperatures as low as -40-degrees Celsius and as high as +85-degrees Celsius.
Can the sensors distinguish different sources of gases?
Yes, our sensor nodes are equipped with multiple sensors capable of distinguishing between various gases. They can differentiate between emissions from campfires, wildfires, and other non-fire-related sources. Additionally, they assess air pressure, humidity, temperature, particulate matter concentrations, volatile organic compounds, and overall air quality. Customizable add-ons, such as thermal sensing, are also available for enhanced detection.
Do the cameras have the capability to scan 360 degrees automatically?
Yes, our cameras are equipped with an automatic 360-degree scanning feature. This allows for comprehensive monitoring, ensuring no area within their range is left unchecked.
How does SenseNet ensure data accuracy and reliability?
At SenseNet, we leverage advanced algorithms and cross-referencing techniques to enhance detection accuracy. Our AI continuously learns and improves over time, making data processing increasingly precise. By integrating data from multiple sources—including sensors, cameras, and satellites—we ensure reliable and accurate information. Additionally, our robust sensor networks feature self-healing capabilities, maintaining continuous data streams and consistent performance.
Is there a training program for new users of the SenseNet system?
We are here to help. As a new user, a member of our team will walk you through the entire learning process I needed. We also have robust live documentation, continuously being updated as our product evolves. Please don’t hesitate to contact us to book a demo.