The future development trend of camera modules is mainly reflected in three aspects: technological upgrading, scene expansion, and industry collaboration:
Technological innovation drives performance breakthroughs
Multispectral fusion technology: Visible light+near-infrared+thermal infrared multispectral module can achieve synchronous output of material recognition and temperature monitoring (error ≤± 1 ℃), applied in the field of industrial detection. ‌
Optical structure innovation: The telescopic lens solves the pressure resistance requirements of complex shooting scenes, and the periscope architecture achieves lossless zoom, adapting to professional imaging needs. ‌
AI deep integration: The integration of neural network processing units (NPUs) enables cameras to have real-time scene recognition, zero shutter delay capture, and other capabilities. AI algorithms optimize portrait blurring effects to enhance user experience. ‌
Diversified development of application scenarios
Smart home security: supports AI facial recognition, pet detection and other functions, gradually replacing traditional monitoring devices to achieve abnormal behavior warning. ‌
Industrial vision: 3D vision, high-speed sorting and other technologies are applied to intelligent manufacturing, with a defect detection accuracy of 99.5%, promoting the development of industrial camera modules towards high precision and stability. ‌
Vehicle mounted perception: Integrating with LiDAR to build a 360 degree environmental perception system, promoting the development of L4 level autonomous driving, and expanding the number of cameras installed on a single vehicle from 5-8 to more than 10. ‌
Building an ecosystem through industrial collaboration
Module integration upgrade: Consumer grade products shift from “quantity competition” to “quality competition”, driving module manufacturers to transform towards high-end. ‌
Cross disciplinary integration: Deep integration with security and industrial equipment to form complementary synergies and build a smart home security ecosystem. ‌
The current industry is facing challenges such as technology, market, and cost, but leading enterprises continue to promote industrial upgrading through technological iteration and scene expansion. It is expected that by 2025, the proportion of intelligent security cameras will reach 40%, and the compound annual growth rate of the industrial market will reach 15%