This case study outlines the development of a smart video doorbell system leveraging the Qualcomm System-on-Chip (SoC) for robust multimedia processing and connectivity. The project aimed to create a low-power, high-resolution, real-time video streaming device with advanced security and monitoring capabilities. It details the technical approach, challenges, implemented solutions, and validation processes that contributed to the product’s success.
Power constraints, tight latency, motion detection precision, secure communication, temperature management in weatherproof housing, and cloud connectivity with smooth OTA support were all obstacles that the project had to overcome.
Silicon Signals delivers engineered solutions that blend 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.
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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
Smart architecture enables long-lasting power, secure cloud access, and high-quality real-time visual.
Lessons showed that optimization across power, AI, audio, and thermal design ensures system success.
