EMBEDDED <br /> ENGINEERING <br/>FOR AI CAMERAS AND IoT PRODUCTS | SQUAD Tech

EMBEDDED
ENGINEERING
FOR AI CAMERAS AND IoT PRODUCTS

From silicon to system-level firmware, we deliver fully integrated, end-to-end solutions
that combine expert hardware design with embedded software,
helping our clients accelerate time-to-market and ensure long-term reliability.

Our Expertise
in Embedded Engineering

We integrate hardware, firmware, automation, and image processing to deliver turn-key systems that meet performance, cost,
and compliance targets
for AI-powered smart cameras.

Hardware Engineering

Embedded Software

Quality Assurance

Image Quality & Vision

AI/ML

NPI (New Product Introduction)
& Sustaining

Full-cycle PCB (Printed Circuit Board), DFM (Design for Manufacturability), and BOM (Bill of Materials) optimization, with part cost reductions up to 15%. The team develops NPI designs from concept to production.

RF & EMC

Antenna design, mmWave radar integration, and full-stack RF validation — including EMC/EMI and signal/power integrity testing. Performed in-house using advanced lab infrastructure.

Power & Thermal

Multi-channel modeling for extended battery life on battery-powered devices, achieving multi-week/months battery life on wireless doorbells and cameras under real-world conditions. Custom multi-channel measurement systems allow advanced power consumption analysis.

Mechanical Design

Rapid prototyping, structural simulations, DFM for plastics/metal, thermal sealing, and optical component integration.

Challenges We Solve for
AI-Powered Smart Cameras
Challenges We Solve | SQUAD Tech

Leverage our 8+ years in the
home-security market to build Smart Camera, Doorbell, and other IoT solutions

End-to-End Video & Audio Streaming

We design embedded and cloud media processing stacks, selecting optimized codecs, adaptive bitrate algorithms, and custom media servers to deliver gapless, high-quality video and audio across Wi-Fi, 3G, LTE, and other networks, supporting millions of concurrent streams with real-time transcoding and resilience against network impairments.

AI-Driven Object Detection & False Alerts Management

Our on-device AI motion detection delivers push notifications within a few seconds, significantly reducing the frequency of false alarms. Solutions offer environmental adaptability for accurate detection in varying conditions and support advanced smart detection (person, package, vehicle, pet). We leverage efficient edge computing to reduce cloud dependency and operational costs.

Secure OTA Updates & Remote Management

We implement end-to-end encrypted over-the-air firmware upgrades and device-provisioning frameworks—compliant with GDPR and CCPA standards—to ensure field-deployed devices stay up-to-date, diagnosable, and secure at scale.

Ultra Low Power Firmware for Extended Battery Life
& Device Reliability

Through detailed power modeling and in-house labs, we optimize firmware to achieve extended battery life and consistent performance for wireless cameras and doorbells under real-world operating conditions.

Technology & Labs

Technology & Labs | SQUAD TechTechnology & Labs | SQUAD TechTechnology & Labs | SQUAD TechTechnology & Labs | SQUAD Tech

Labs & Equipment

Environmental & climatic chambers.

RF/EMC anechoic suites (Rohde & Schwarz, Agilent,
ETS-Lindgren, Anritsu).

Multi-channel power-measurement rigs.

Robotic IQ arms, spectrometers & interferometers.

SQUAD Camera Testing System (Roboarm v2) has a capacity for ~225 devices.

Motion Detection Studio for AI-based algorithm testing.

Languages & OS

C, C++, Linux (Yocto, Buildroot), FreeRTOS, Zephyr

Hardware Platforms

ARM Cortex-M → high-end SoCs (Ambarella, OmniVision, SigmaStar, Qualcomm)

Protocols

I²C, SPI, CAN, MQTT, BLE, LoRaWAN, TCP/IP, TLS

Our Process

We have a refined five-phase process—shaped by our experience delivering complex embedded systems—that brings clarity, consistency, long-term scalability, and technical alignment across the full product lifecycle:

Our Process | IoT Product Engineering by SQUAD

Strategize

Stakeholder workshops to align vision, use cases and constraints; deliver a detailed design brief, UX/market research, and project roadmap.

Our Process | IoT Product Engineering by SQUAD

Design

“Looks-like / works-like” prototypes, system architecture specs, PCB/RF/ME layouts, and initial UX/UI mockups.

Our Process | IoT Product Engineering by SQUAD

Develop

Iterative firmware, driver, and SDK development; hardware bring-up; integration of communication stacks and ML pipelines.

Our Process | IoT Product Engineering by SQUAD

Launch

Pilot programs, A/B testing, performance trials, and launch-dashboards—gathering metrics to stabilize your product in the market.

Our Process | IoT Product Engineering by SQUAD

SustaiN

Ongoing feature enhancements, security updates, BOM cost optimization, ML-model refreshes, and second-source support.

Why Choose SQUAD

We are a single engineering partner that takes your product from concept to manufacturing readiness. We combine product design, hardware, firmware, cloud, machine learning, and mobile into an integrated end-to-end process, so you get a complete, production-grade solution with predictable execution.

Our R&D is built to deliver, not just explore. We use a proven, codified delivery process and modern AI-based tools to move quickly, validate ideas, and deliver meaningful improvements with clear business value.

Our 6,500 m² (70,000 sq ft) labs help teams accelerate validation and product maturity. With specialized equipment and test benches, we detect issues early, reduce technical risk, and solve deep engineering challenges faster.

We have 600+ tech and product development experts across embedded systems, cloud, mobile, and AI. Our cross-functional teams build seamless user experiences and complex products, backed by strong engineering discipline and recognized certifications.

We engineer for measurable impact. Our delivery model is focused on on-time, on-budget execution, high customer satisfaction, and confident product launches, helping teams move from idea to market. Our track record includes 500+ projects, 50+ devices, 100+ app releases, and 20+ AI features.

Ready to bring your
next embedded system
to life?

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