Design Scheme for Intelligent Camera
- Core functions and scene adaptation
Environmental adaptability: For outdoor scenes, it adopts IP65 or above dustproof and waterproof design to ensure stable operation under harsh conditions such as wind, rain, sand and dust. Support wide temperature range and adapt to extreme weather conditions.
Intelligent analysis capability: integrate edge computing module, realize real-time behavior recognition (such as wandering detection, cross-border alarm) and object tracking, and reduce cloud dependence. For example, by using AI algorithms to automatically trigger alerts, security efficiency can be improved.
Low power consumption and wireless connection: Supports battery power and AP mode, can still work in a power and network free environment, suitable for temporary construction sites or remote areas. Optimize energy management and extend device battery life.
- Hardware architecture design
Main control chip: Select high-performance processors (such as RK3588), integrate NPU engine to accelerate AI inference, support parallel processing of multiple video streams, and ensure real-time performance. Its multi-core architecture balances performance and power consumption, making it suitable for high-definition video encoding and decoding.
Sensors and Imaging: Equipped with high-resolution cameras (such as Sony IMX435), supporting 8K ultra clear acquisition, combined with infrared night vision technology, achieving all-weather monitoring day and night. Optimize ISP (Image Signal Processor) to enhance dynamic range and noise reduction.
Modular Expansion: Using FPGA or dedicated ASIC to achieve functional modularization, facilitating on-demand integration of intelligent analysis (such as facial recognition) or industrial detection functions. Connect external devices through standard interfaces such as MIPI and HDMI.
- Software and Network Solutions
Intelligent Transmission Protocol: Based on P2P 3.0 technology, it achieves low latency live streaming (<300ms) and high loss tolerance, adapting to unstable network environments. Support dynamic switching between UDP/TCP dual protocols to enhance transmission reliability.
Security mechanism: End to end encryption (DTLS) prevents man in the middle attacks, combined with dynamic key updates and one machine one password policy to ensure data privacy. Integrate firewall rules to resist network threats.
Remote management platform: Develop a visual control interface that supports unified configuration of multiple devices, event playback, and intelligent linkage (such as interaction with smart speakers or access control systems). Implementing cross regional access through cloud services to simplify operations and maintenance.
- Installation and maintenance optimization
Flexible deployment: Provides magnetic or bracket installation solutions, supports wall side installation or ceiling installation, and is easy to adjust the viewing angle. For example, optimizing the pitch range through angle brackets to cover a wider monitoring area.
Fault self checking and diagnosis: Built in self checking module, regularly reports device status, supports remote log analysis, and quickly locates problems (such as IP conflicts or power supply abnormalities). Simplify maintenance processes and reduce downtime risks.
- Implementation suggestions
Scenario customization: select the function focus according to the application scenario (such as family, enterprise or industry). For example, home security emphasizes ease of use, while industrial detection needs to strengthen edge computing capabilities.
Cost benefit balance: Prioritize modular design, avoid excessive integration, and control development costs through open source tools and standardized components. For example, reusing existing ecosystems (such as graffiti IoT platforms) to accelerate their implementation.
Continuous iteration: Reserve hardware upgrade interfaces, support future algorithm optimization and new feature expansion, and adapt to technological evolution. AI-generated
