ISP co-processor

I. Rationale for ISP Collaborative Chips in Modern Imaging Systems

As smart devices, drones, security monitoring systems, in-vehicle systems, and AR/VR devices flourished, the traditional single-layer ISP chips became a bottleneck due to:

• Limited performance in processing high-resolution multi-stream images
• Challenges in maintaining power efficiency
• Inability to handle real-time rendering in high-complexity environments

The disruptive ISP Collaborative Chip architecture breaks these constraints with:

• Multi-camera/multitasking processing capabilities
• AI-powered intelligence
• Ground-breaking power efficiency

II. Technical Field of the Invention

This invention relates to ISP Trellis chips with revolutionary features:

Revolutionary Architecture & Parallel Processing

• Feedback multiprocessor system enabling hardware-level task division
• True parallel computation where:
• Dedicated ISP cores process primary camera data
• Secondary/wide-angle cameras use independent processing units
• AI acceleration blocks integrate with imaging pipelines
• 2-3× higher processing throughput vs traditional ISPs
• 40-60% power reduction in multi-camera setups

Cutting-Edge Imaging Capabilities

Beyond standard noise reduction and color enhancement, these chips enable:

• Frame-level synchronization of multi-stream video
• Temporal noise reduction via multi-frame analysis
• Dynamic HDR adapting to scene requirements
• Neural network-based scene understanding for:
• Automatic parameter optimization
• Subject tracking
• Environment-aware processing

Advanced Implementation Features

• Heterogeneous cores (DSP+GPU+NPU) for optimized workload distribution
• High-bandwidth memory interfaces (LPDDR5X/HBM3)
• Scalable interconnects supporting:
• Additional processing modules
• Future algorithm upgrades
• Multi-chip expansion

III. Market Applications & Future Development

Transformative Applications

Smartphone Imaging Systems:

• Seamless integration of primary/telephoto/wide-angle/depth cameras
• Powers computational photography features like:
• Night mode
• Portrait lighting
• Super-resolution zoom

Security & Surveillance:

• Processes multiple high-resolution streams simultaneously
• Supports AI analytics (face detection, motion detection)
• 24/7 low-power operation

Automotive & Drone Systems:

• Enables 360° panorama monitoring
• Real-time obstacle mapping
• Advanced driver assistance features

Emerging Market Opportunities

Addresses critical needs in:

• Industrial machine vision
• Medical imaging devices
• Next-gen AR/VR systems
• Projected to capture >30% of premium ISP market by 2027

Future Evolution

1. AI Integration:

• On-chip neural processors
• Self-learning algorithms

1. Process Advancements:

• 3nm node implementation
• 3D chip stacking

1. System Innovation:

• Photonic interconnects
• In-memory computing

CONCLUSION

ISP cooperative chips represent a quantum leap by:

✔ Breaking single-chip processing bottlenecks

✔ Enabling true multi-sensor intelligence

✔ Delivering unprecedented performance-per-watt

As demand grows for computational photography and machine vision, these architectures will become foundational across consumer and industrial imaging systems.

This version:

1. Bolds all key technical terms, metrics, and benefits
2. Maintains clear section hierarchy
3. Preserves technical depth while improving readability
4. Uses consistent formatting for features and advantages