Meyd675

| Benchmark | Model | Throughput | Power (W) | Efficiency (TOPS/W) | |-----------|-------|------------|-----------|----------------------| | ImageNet‑V2 (ResNet‑50) | INT8 | 3.1 TOPS | 1.5 W | 2.07 | | Object Detection (YOLO‑v5s) | FP16 | 1.2 TOPS | 0.8 W | 1.5 | | Speech Recognition (RNNT) | INT8 | 0.9 TOPS | 0.6 W | 1.5 | | DSP FIR Filter (64‑tap) | 32‑bit | 0.5 TOPS | 0.2 W | 2.5 |

All numbers are measured on a reference board with ambient temperature 25 °C, using the latest SDK optimizations.

The MEYD‑675 is a rugged, battery‑operated, multi‑sensor data‑logging platform designed for continuous environmental monitoring in harsh outdoor and indoor settings. It combines a suite of precision sensors, an on‑board micro‑controller, and flexible connectivity options into a single, weather‑proof unit that can be deployed for months without maintenance.

| Feature | Detail | |---------|--------| | Form factor | 120 mm × 80 mm × 30 mm (L × W × H) | | Operating temperature | –40 °C to +85 °C | | Ingress protection | IP67 (dust‑tight, water‑resistant) | | Power source | 2 × Li‑ion 18650 (up to 12 months at 1 Hz) | | Data storage | 64 GB internal eMMC (up to 2 TB with external micro‑SD) | | Communication | LoRaWAN, LTE‑Cat‑M1, Bluetooth 5.0, USB‑C | | Certifications | CE, FCC, RoHS, ATEX‑Ex dII (optional) | | Software | Cross‑platform (Windows, macOS, Linux) GUI + RESTful API | meyd675

| Feature | MEYD‑675 | Competitor A (Enviro‑Pro 500) | Competitor B (AirSense X2) | |---------|----------|------------------------------|----------------------------| | Sensor count (stock) | 8 (expandable to 12) | 5 | 6 | | Battery life @ 1 Hz | 12 months (2×18650) | 6 months (AA) | 9 months (Li‑poly) | | IP rating | IP67 (IP68 optional) | IP65 | IP66 | | Communication | LoRa, LTE‑Cat‑M1, Bluetooth, USB‑C | LoRa only | LTE‑Cat‑M1, Wi‑Fi | | Edge AI | TensorFlow‑Lite pre‑loaded | None | Basic rule‑engine | | Price (USD) | $749 (base) | $620 | $845 | | ATEX‑Ex certification | Optional (Ex‑dII) | No | No |

The MEYD‑675 stands out for its comprehensive sensor suite, flexible connectivity, and built‑in edge‑AI capabilities, making it a future‑proof choice for both research and industrial deployments.

| Sensor | Measurement Range | Accuracy | Typical Use Cases | |--------|-------------------|----------|-------------------| | Temperature (Thermistor) | –50 °C to +150 °C | ±0.1 °C (±0.5 °C @ –40 °C) | Climate stations, HVAC, cold‑chain | | Relative Humidity (Capacitive) | 0 %–100 % RH | ±1.5 % RH (±3 % @ 0 %/100 %) | Greenhouses, museums | | Barometric Pressure (MEMS) | 300 hPa–1100 hPa | ±0.3 hPa | Weather forecasting, altitude tracking | | CO₂ (NDIR) | 0 – 5000 ppm | ±30 ppm + 3 % of reading | Indoor air quality, labs | | Particulate Matter (Laser Scattering) | PM₁.₀, PM₂.₅, PM₁₀ (0 – 1000 µg m⁻³) | ±10 % | Urban pollution, mine ventilation | | VOC (Metal‑oxide) | 0 – 1000 ppb | ±15 % | Industrial safety, building health | | Light (Lux) (Photodiode) | 0 – 200 000 lx | ±5 % | Solar irradiance, plant research | | Wind Speed & Direction (Ultrasonic) (optional add‑on) | 0 – 60 m s⁻¹, 0°–360° | ±0.2 m s⁻¹, ±3° | Meteorology, wind‑farm siting | | Benchmark | Model | Throughput | Power

Note: The MEYD‑675 can be ordered with any combination of the above sensors. Additional specialized probes (e.g., soil moisture, water level, radiation) are available as plug‑and‑play modules.

| Layer | Recommended Tech | |-------|------------------| | Edge OS | Yocto Linux (ARM‑Cortex‑A53) | | Container Runtime | Docker‑Slim + container‑d | | Signal Processing | C++/Eigen for low‑latency; optional Rust bindings | | ML Inference | TensorFlow‑Lite Micro (int8 quantisation) | | Incremental Learning | TinyML‑compatible online LSTM (Edge Impulse SDK) | | XAI | SHAP‑Lite (custom C++ port) | | Messaging | MQTT‑5 (QoS 2) + AMQP 1.0 fallback | | Web UI | React 18 + TypeScript + Recharts + Material‑UI | | API | FastAPI (Python) + GraphQL (Ariadne) | | Cloud | Kubernetes (EKS/GKE), PostgreSQL, TimescaleDB for time‑series, Grafana for visualisation | | CI/CD | GitHub Actions → Buildx (multi‑arch), Trivy security scan, ArgoCD for deployment | | Security | mTLS (cert‑manager), OAuth2 + OIDC, Audit Log in Elastic Stack |

| Block | Description | |-------|-------------| | ARM Cortex‑A78AE (4‑core) | General‑purpose cores with advanced reliability extensions (A‑R‑E) for real‑time control, OS, and pre‑/post‑processing. | | AI Matrix Cores (8×) | 64‑bit fixed‑point MAC arrays, each with 256 KB local SRAM, supporting INT8/INT16 and mixed‑precision FP16/FP32. | | DSP Subsystem | 2× 32‑bit VLIW DSPs for audio/vision signal processing, complementing matrix cores for non‑tensor workloads. | | RISC‑V Security Coprocessor | Handles cryptographic primitives, secure boot, and key management. | | Feature | MEYD‑675 | Competitor A (Enviro‑Pro

The matrix cores are tightly coupled to the on‑die memory via a crossbar that guarantees ≤ 15 ns latency for data fetches, enabling model‑in‑memory execution without external DRAM stalls.

All components are released under the Apache 2.0 license (except the secure enclave firmware, which is proprietary but signed and auditable).