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Interested in collaborating with Silicon Signals on your next big idea? Please contact us and let us know how we can help you.
Interested in collaborating with Silicon Signals on your next big idea? Please contact us and let us know how we can help you.
6 synchronized cameras stitched into real-time panoramic video output feed
Deterministic pipeline delivering sub-50 ms end-to-end system latency total
On-device object detection and tracking across multiple camera views system
Developing a real-time multi-camera panoramic system requires overcoming challenges across latency, synchronization, AI processing, and system-level performance. Ensuring deterministic stitching, stable tracking, and efficient resource utilization on embedded hardware introduced significant complexity across video, computer, and memory pipelines.
Achieving low latency panoramic fusion across synchronized video streams system.
Maintaining consistent object identity across multiple camera views in real-time.
Handling multi stream high resolution data without saturating DDR bandwidth now.
Ensuring sub 50 ms end to end processing under strict real time constraints now.
Managing sustained GPU and DSP workloads within fanless edge systems safely now.
Silicon Signals deliver GPU accelerated panoramic fusion with zero copy pipelines and DSP based AI inference ensuring real-time performance.
GPU accelerated warping and blending enabled real time panoramic stitching with low latency output streams.
DMABUF zero copy pipeline eliminated CPU overhead and enabled efficient high bandwidth video data transfer.
Precomputed homography and overlap masks reduced runtime compute load and improved stitching performance.
PREEMPT RT kernel tuning CPU isolation and IRQ affinity ensured deterministic low latency system execution.
YOLOv8 INT8 inference on DSP enabled efficient object detection and tracking with optimized power usage.
Automatic recalibration using reprojection error ensured long term stitching accuracy and system stability.
Delivering deterministic performance across video fusion, AI, and system layers.
Let’s build real-time multi-camera vision systems with confidence.
Low-latency video fusion. Edge AI. Scalable performance.
Qualcomm QCS8250, 6× MIPI CSI-2 cameras, LPDDR4x, NVMe SSD
YOLOv8 (INT8), SNPE, DeepSORT multi-object tracking
GStreamer, DMABUF zero-copy, GPU-based warp and blending
Yocto Linux, PREEMPT_RT, perf, ftrace, cyclictest
Delivered real-time panoramic fusion with stable AI tracking and optimized performance at the edge.
Achieved sub 50 ms latency delivering real-time stitched video across all camera streams reliably.
Ensured zero frame drops across six synchronized camera inputs under continuous system load.
Maintained consistent object identity across camera boundaries using optimized tracking models.
Delivered full system performance within 10.5 W power budget for fanless edge deployment.
Reduced DDR usage using zero copy pipeline ensuring stable high bandwidth data processing.
Enabled unified panoramic view eliminating need for multiple displays in monitoring systems.
If you're developing panoramic video, edge AI analytics, or multi-camera platforms, we help you deliver low-latency, scalable, and production-ready solutions.
+91 94087 30545
sales@siliconsignals.io
A-802/803, Empire Business Hub, Science City Rd, Ahmedabad - 380060, Gujarat, India
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