The Dragonfly AI camera is the industry's first low-power solar-powered AI camera that supports 4G communication and the GB28181 protocol. It is a self-developed, lightweight, intelligent, and flexibly deployable video streaming, detection, and recognition AI camera. The system is designed for the fields of video and surveillance, with powerful built-in AI algorithm engines. It is a software and hardware integrated product targeted for general security applications. Featuring AI chip + AI framework + AI algorithms, the three components work together to provide strong and flexible AI computing support. The camera supports solar power supply and 4G network deployment, enabling rapid implementation of AI applications such as facial recognition, license plate recognition, people and vehicle control, boundary alert, and firework detection (implemented through cloud deployment). It offers users a flexible and intelligent solution widely applicable in various security scenarios such as parks, campuses, construction sites, and communities.

The Dragonfly AI camera combines artificial intelligence technology and machine learning capabilities to analyze images and scenes, perform machine recognition, image recognition, and intelligent visual learning, and complete the model through automatic technology.

Key Hardware Features

1. Edge Computing Capability

The AI chip has processing power to perform edge computing and enable intelligent processing on the device itself.

2. Low Power Design

The system is designed to be solar-powered and can operate even in locations with limited access to power sources.

3. Image Selection

The camera uses video sensor standards for high-quality imaging, achieving 1080p resolution. It supports H.264 video encoding, dynamic nighttime video, 1080p main stream, 720p secondary stream, and 540p third stream, with a maximum resolution of 1920 x 1080.

4. Front-end Hardware Storage

The device has a video storage capacity of at least 6 hours and supports data backup to prevent loss.

5. Data Transmission

The camera can transmit real-time video images and supports 4G networks provided by telecom operators.

6. Environmental Temperature

The camera can operate in a temperature range of -20℃ to +60℃.

7. Night Vision Function<

The camera can provide starlight-level night vision and support the upload of clear images.

8. Failure Rate

The camera has excellent stability and functionality and low failure rate.

9. Stability

The camera can work continuously for more than 30 days under normal working conditions without electrical, mechanical, or software failures.

10. External Power Supply

The camera has an external power interface that supports a 220V external power supply.

11. Photovoltaic and Battery

The camera can supply power for up to 3 days in rainy weather. It has a separate design from the camera and uses lightweight lithium batteries for easy installation, reducing maintenance costs.

12. AI Recognition Capability

(1) The camera has direct AI recognition capability, including basic and data front-end recognition, without the need for recognition on the server;

(2) It can perform intelligent recognition without uploading images;

(3) The minimum requirement for recognizing environmental conditions is 0 lux;

(4) The camera can recognize targets such as people, vehicles, and fires with a recognition rate of ≥90% and a miss rate of ≤0.3%, depending on different recognition methods and degrees;

(5) The camera's recognition results are not affected by poor network conditions or network disconnection.

1. It can be powered by solar energy and deployed with 4G network, or it can be powered by mains electricity and deployed with broadband, allowing flexible installation based on application scenarios.

2. Supports H264/H265 streaming.

3. Supports lightweight detection and alarm messages, which are pushed to users in real time.

4. Cameras can be centrally managed in the cloud, allowing users to view their status and allocate detection tasks.

5. AI models can be centrally managed in the cloud, facilitating flexible deployment and efficient resource utilization.

6. Supports direct viewing of surveillance videos, enabling risk monitoring and interactive video surveillance.

7. Supports playback of recent surveillance recordings.

8. Equipped with the built-in Dragonfly AI algorithm engine, which, when combined with the cloud, allows limitless and flexible deployment of AI algorithms tailored to future business needs.

9. Lightweight AI models that provide fast computing speed.

10. Unique "Edge-Cloud" instant communication design architecture that enables resource sharing between edge and cloud, overcoming limitations in edge resources and achieving full system resource utilization.

11. Provides rich RESTful API protocol interfaces for easy integration and rapid business development with third-party applications.

12. The system supports both public cloud and private cloud deployment, adapting to the evolving business needs.

The Dragonfly AI camera is widely used in various applications such as preventing intruders from breaking into villas, factories, warehouses, military bases, power stations, railway stations, highways, pedestrian crossings, railway level crossings, prisons, airports, oil pipelines, military restricted areas, industrial and mining enterprises, residential communities, schools, agricultural production sites, historic sites, museums, government buildings, fuel depots, subways, railways, tunnels, ports, train stations, and banks.

The camera can detect and prevent personnel from climbing over walls, entering forbidden areas, unauthorized intrusion detection, door access control, factory production area intrusion detecting and alarm, and personnel boundary crossing detecting and alerting.

Scenario 1: Smart Construction Site

The Dragonfly AI camera can ensure the safety of workers at the construction site by supporting dynamic detections such as face recognition, safety helmet detection, reflective clothing detection, gathering/fighting detection, firework detection, mobile phone usage detection, and personnel intrusion detection.

Scenario 2: Smart Industrial Park

For industrial parks and other areas, the Dragonfly AI camera can monitor people's behavior of climbing high and monitor key areas through electronic fences to prevent unauthorized entry. It can also detect fireworks and improve park security while reducing manual patrol costs.

Scenario 3: Smart Chemical Park

The Dragonfly AI camera can satisfy the comprehensive management needs of safety, environment protection, emergency response, and multi-link production control for chemical companies, such as detecting employees leaving their posts, smoking, wearing protective equipment, and detecting open flame, leaks, falls, and personnel intrusion detection.

Application Scenario 4: Smart Power

An edge product for electric field security and intelligent management scenarios based on smart recognition services. It can analyze and share video content in real-time, automatically detect potential risks, and proactively issue risk warnings.

Application Scenario 5: Smart Factory

Smart factories further standardize manufacturing processes and workflows, improve product quality, increase production efficiency, effectively reduce violations of safety protection requirements, greatly reduce the occurrence of safety accidents and personnel injuries.

Application Scenario 6: Smart Urban Management

Using Dragonfly AI cameras to perform visual recognition of excessive gatherings and fighting behaviors on streets and main roads, monitor irregular parking and placement of motor vehicles and non-motor vehicles, as well as street cleanliness.

Application Scenario 7: Smart Environmental Protection

With the help of Dragonfly AI cameras, monitoring is conducted in key streets, areas, and other regions, integrating human society with environmental business, and building a better city.

Application Scenario 8: Line Guarding

Using Dragonfly AI cameras to collect and compare the surrounding environment of power line poles, ensuring the normality of the surroundings and the lines;

For example: 1. Abnormal attachments and encroachment by animals and plants; 2. Phenomena such as unauthorized construction of power lines; 3. Unexpected line problems such as line detachment; 4. Real-time alarm prediction of fires and smoke; 5. Tilt of power line poles; 6. Aggregated crowds, indicating possible manual construction; 7. Excessive vibration indicating possible mechanical construction or natural disasters.

Through the calculation of Dragonfly AI cameras, companies can timely identify the source of problems, reduce losses and damage, trace the causes of accidents, establish sound response measures, and ensure the physical security of communication facilities.

Application Scenario 9: Worker Safety

Using Dragonfly AI cameras to identify workers, detect whether they are wearing safety helmets correctly, whether they are crossing the line (electronic fence), engaging in high-altitude activities, and perform smoke and fire detection in key areas. This helps companies comprehensively and promptly understand the production situation and strengthen supervision of safety production management.

Application Scenario 10: Behavior Analysis

Analyzing and processing abnormal behaviors of individuals using Dragonfly AI cameras. This can be applied to machine recognition of behaviors such as prevention in key areas, monitoring of important items, and detection of suspicious dangerous items. It can also issue alarms for abnormal behaviors, greatly improving the efficiency of video surveillance. Additionally, it can perform situational analysis of crowds, such as crowd density analysis and personnel gathering analysis, analyzing the situation in key areas or places with a large number of people, preventing crowd incidents, and providing early warning and timely response.

Application Scenario 11: More Scenarios

Various scene recognition algorithms can be embedded according to project needs.