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This case study describes the design and development of a smart video doorbell system for our client using the Qualcomm System-on-Chip (SoC). Leveraging the SoC’s robust multimedia processing and networking capabilities, we enabled our client to deliver a low-power, high-resolution, real-time video streaming device featuring advanced security and home monitoring capabilities including night vision, door control relay with power backup, and offline door control mode. This paper outlines the technical approach, challenges encountered, solutions implemented, and validation processes that enabled our client to bring a successful product to market. Below are some key client requirements:
1080p video with wide-angle view, night vision, two-way audio, and smart motion detection.
Low-latency streaming, local+cloud storage, Wi-Fi connectivity, and long battery/wired power.
Qualcomm MSM8916 platform running Yocto Linux for reliable, real-time doorbell operation.
Our client faced critical technical challenges including power constraints, strict latency requirements, motion detection precision, secure communication protocols, thermal management within weatherproof housing, and reliable cloud connectivity with seamless OTA update support.
Designed for ultra-low power use to maximize battery life and ensure long, uninterrupted doorbell operation.
Processes HD video instantly with end-to-end latency under 350 ms for smooth, real-time user interaction.
Delivers reliable motion detection with minimal false alarms using PIR, AI models, and sensor fusion.
Enables clear, secure two-way audio communication for effective real-time conversations with visitors.
Manages heat efficiently inside compact, weather-sealed enclosures for safe outdoor performance.
Silicon Signals delivers engineered solutions that help our client achieve innovation, reliability, and scalability.
Snapdragon 410 tuned for performance balance using suspend-to-RAM, dynamic CPU Freq, and Wi-Fi LPM.
Image sensor, DSI display, Snapdragon 410, Adreno GPU, ISP, Wi-Fi, and Bluetooth form the core system.
Hardware-accelerated H.264/H.265 encoding and zero-copy GStreamer pipeline for low-latency 1080p streaming.
PIR + IMU + on-device AI (quantized CNN on DSP via SNPE) for human/package detection and tamper alerts.
Implemented AEC (SpeexDSP) and NR (WebRTC NS) with G.711 codec and ALSA tuning.
Passive heat sink, CFD-optimized thermal layout, and DVFS-based thermal throttling.
Secure boot, OTA updates, AES-256 encryption, MQTT/HTTPS signaling, and OAuth2 access.
Efficiency, satisfaction, and customer success are the quantifiable outcomes that demonstrate the value we provide.
Create your next-gen smart doorbell with our engineering expertise.
Measurable Results That Matter
Qualcomm Snapdragon 410, Bosch BMI160 IMU, PIR sensor, CMOS Camera (1080p)
Yocto Project (Embedded Linux), Linux Kernel 4.9 LTS
zero-copy GStreamer pipeline , V4L2, DMA-BUF
Qualcomm SNPE SDK, TensorFlow Lite (Quantized CNN)
Wi-Fi (802.11 b/g/n), MQTT, HTTPS, RTSP
ALSA, SpeexDSP, WebRTC Noise Suppression
Secure Boot, OTA (FOTA), AES-256, TLS 1.3, OAuth2, X.509
Our smart architecture enabled our client to deliver long-lasting power efficiency, secure cloud access, and high-quality real-time video.
Delivers nearly 2 months of usage with 10–15 daily motion or doorbell events.
Achieves over 95% human detection accuracy with under 5% false alerts.
Maintains under 350 ms latency for smooth real-time viewing, even on weak networks.
Provides outdoor-ready audio clarity with MOS scores consistently above 3.5.
Streams crisp 1080p@30fps video at 1.5–2.5 Mbps across all lighting conditions.
Exceeds 98% tamper detection accuracy while keeping false alarms extremely low.
Ensures stable thermal behavior and dependable cloud sync under continuous use.
If you're ready to build a powerful, and robust smart doorbell, this case study shows what’s possible when engineering and innovation come together.
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