MSPM0G5187 - 80MHz Cortex-M0+ MCU, 128KB Flash, NPU | TI
Référence : MSPM0G5187 ✓ Actif| Qté | Prix unitaire | Total |
|---|---|---|
| 1 | $0 | $0,00 |
| 10 | $0 | $0,00 |
| 100 | $0 | $0,00 |
| 500 | $0 | $0,00 |
| 1 000 | $0 | $0,00 |
MSPM0G5187 Présentation
A microcontroller (MCU) is a single-chip embedded processor that combines a CPU core, memory, and programmable peripherals to govern a dedicated function within a larger system. MCUs sit within the broader hierarchy of semiconductor devices under the microcontroller and embedded processor category, and the MSPM0G5187 belongs to the MSPM0G series within Texas Instruments' long-standing MSP ultra-low-power MCU family, positioned for energy-efficient embedded sensing and on-device machine learning designs.
Key differentiating features include the integrated TinyEngine NPU, which delivers up to 90x lower inference latency and more than 120x lower energy per inference compared with MCUs executing neural networks purely on the CPU, enabling always-on edge AI at milliwatt power budgets. The 128KB flash and 32KB SRAM support compact sensor-fusion models, while USB 2.0 FS, I2S, UART, SPI, and I2C interfaces cover connectivity and digital audio needs.
Architecturally, the device uses a 32-bit Arm Cortex-M0+ core with a memory protection unit (MPU) and nested vectored interrupt controller (NVIC) for deterministic real-time behavior. The TinyEngine NPU offloads convolutional neural network inference from the CPU, reducing both latency and energy per inference. Cybersecurity enablers and high-performance integrated analog round out the mixed-signal capability. The supply voltage range is 1.62V to 3.6V with a -40C to +125C operating temperature range per TI product documentation.
Typical applications include industrial automation and predictive maintenance, smart sensors with anomaly detection, portable medical monitoring devices, and battery-powered edge-AI endpoints where USB host connectivity or I2S digital audio is required alongside low-power inference.
When designing, decouple all supply pins with 100nF ceramic capacitors placed close to the device, and budget SRAM carefully for NPU model weights and activations; multiple low-power modes extend battery life.
This page synthesizes distributor availability data, drop-in alternative analysis, and practical design notes not found in the manufacturer datasheet.
Alternatives de remplacement direct pour MSPM0G5187 — même boîtier, compatible broche à broche. Les références à boîtier différent nécessitant une retouche du PCB sont exclues.
Variantes de cette série
Modèles de la même série directement compatibles avec MSPM0G5187 (même facteur de forme et même empreinte) — différant par Core Processor, Peripherals.
Outil de comparaison rapide — sélectionnez des références alternatives pour une comparaison côte à côte :
MSPM0G5187SPMR
✅ Remplacement direct📋 Alternative de référence (hors catalogue)
MSPM0G5186
✅ Remplacement direct ⚠️ Spécifications non vérifiées📋 Alternative de référence (hors catalogue)
MSPM0G5185
✅ Remplacement direct ⚠️ Spécifications non vérifiées📋 Alternative de référence (hors catalogue)
MSPM0G3507
✅ Remplacement direct ⚠️ Spécifications non vérifiées✓ En stock
Contactez-nous pour le prix
Voir la fiche technique →MSPM0G5187 Valeurs maximales et caractéristiques électriques
| Core Processor | Arm Cortex-M0+ (32-bit) |
| Core Frequency | 80 MHz |
| Flash Memory | 128 KB (128K x 8) |
| SRAM | 32 KB |
| Hardware Accelerator | TinyEngine NPU (edge AI) |
| USB Interface | USB 2.0 Full-Speed |
| Audio Interface | I2S |
| ADC Resolution | 12-bit |
| Supply Voltage Range | 1.62 V to 3.6 V |
| Température de fonctionnement | -40C to +125C |
| Boîtier | 64-LQFP (10x10 mm) |
| Type de montage | Surface Mount |
| Largeur du bus de données | 32-bit |
| Series | MSPM0G |
| Evaluation Kit | LP-MSPM0G5187 LaunchPad |
| Peripherals | UART, SPI, I2C, timers, DMA, cybersecurity enablers |
Guide de configuration des broches du MSPM0G5187 64-lqfp (10x10 mm)
Configuration des broches du MSPM0G5187 (boîtier 64-lqfp (10x10 mm)). Ce circuit intégré numérique comprend des GPIO, des interfaces de communication (UART, SPI, I2C) et des broches d'alimentation. Consultez la fiche technique du fabricant pour les fonctions alternatives des broches et les options de configuration. Indispensable pour la conception de systèmes embarqués et la conception de circuits imprimés.
Aucune donnée de brochage détaillée disponible pour MSPM0G5187.
Consultez la fiche technique pour la configuration complète des broches.
Applications typiques
MSPM0G5187 convient pour 6 applications: Industrial Predictive Maintenance, Smart Sensors with Anomaly Detection, Portable Medical Monitoring, Edge AI Voice and Audio Devices, Building Automation and HVAC Control, USB-Connected Data Loggers.
Industrial Predictive Maintenance
The MSPM0G5187 fits predictive-maintenance endpoints because its TinyEngine NPU classifies vibration and current signatures on-device with up to 90x lower latency than CPU inference, enabling immediate shutdown decisions without cloud round-trips. The 12-bit ADC samples motor current and accelerometer channels, while UART/SPI/I2C link to industrial sensor front-ends. In a typical deployment the MCU continuously streams ADC data to the NPU, which runs an anomaly-detection model within the 32KB SRAM budget, consuming far less energy than duty-cycled wireless inference. The -40C to +125C range covers cabinet and drive-mounted installations, and cybersecurity enablers protect model and firmware integrity on the factory floor.
Recommandé
Smart Sensors with Anomaly Detection
Smart sensors benefit from the MSPM0G5187's combination of ultra-low-power Cortex-M0+ operation (1.62V to 3.6V supply) and on-chip NPU inference at more than 120x lower energy per inference, extending battery life in always-on monitoring nodes. The 12-bit ADC digitizes gas, humidity, or acoustic sensor outputs, and the NPU filters false positives locally so the radio transmits only actionable events. USB 2.0 Full-Speed simplifies bench configuration and data offload during commissioning, while I2C and SPI connect digital sensors directly. Multiple low-power modes between inference bursts allow multi-year battery operation, and the 64-LQFP 10x10 mm footprint suits compact sensor housings.
Recommandé
Portable Medical Monitoring
For portable medical devices such as vital-sign patch monitors, the MSPM0G5187 offers battery-friendly operation from a 1.62V to 3.6V rail, low-power sleep modes, and NPU-accelerated arrhythmia or activity classification that would otherwise drain batteries if executed on the CPU or in the cloud. The 12-bit ADC with integrated analog front-end capability conditions biopotential and optical sensor signals, and I2S can interface digital audio or dedicated AFE devices. USB 2.0 FS provides clinician data offload without extra bridge ICs. Operating to +125C supports autoclave-adjacent storage conditions, and cybersecurity enablers assist with patient-data protection requirements at the edge.
Recommandé
Edge AI Voice and Audio Devices
The MSPM0G5187 suits keyword-spotting and acoustic-event devices because the I2S interface connects digital microphones and audio codecs directly, and the TinyEngine NPU executes small CNNs with up to 90x lower latency than CPU inference - fast enough for real-time wake-word response. With 128KB flash and 32KB SRAM, compact speech-command models fit on-chip without external memory, keeping the bill of materials minimal. The USB 2.0 Full-Speed port can present the device as an audio or HID class peripheral to a host PC. Because inference runs at microwatt-to-milliwatt energy levels, the design achieves always-on listening in battery-powered form factors.
Recommandé
Building Automation and HVAC Control
In building automation nodes, the MSPM0G5187 handles sensing, local decision-making, and connectivity in one chip. The Cortex-M0+ at 80MHz executes control loops with deterministic NVIC interrupt latency, the 12-bit ADC reads temperature, pressure, and current sensors, and UART/I2C buses communicate with network coprocessors and digital sensors. The NPU enables occupancy or air-quality pattern classification at the node, reducing uplink traffic to the BMS controller. A 1.62V to 3.6V supply suits battery- or bus-powered thermostats and damper actuators, while the -40C to +125C temperature range and 64-LQFP 10x10 mm package support both panel-mounted and rooftop equipment enclosures with minimal PCB area.
Recommandé
USB-Connected Data Loggers
The MSPM0G5187 is a strong fit for USB data loggers because its USB 2.0 Full-Speed controller enumerates directly as a device with no external USB PHY or bridge chip, cutting cost and board area versus non-USB MCUs that need a separate UART-USB converter. The 128KB flash stores configuration and logged datasets or buffers to the 32KB SRAM between host reads, while the 12-bit ADC and GPIO capture sensor channels. The NPU can pre-filter data on-device, so only anomalous events are written, extending storage capacity. Low-power modes keep multi-month battery-backed logging feasible, and the 10x10 mm LQFP fits slim enclosure profiles.
Recommandé
Récapitulatif des produits recommandés
Données de référence d'ingénierie pour MSPM0G5187 — comparaison, recommandations de conception et informations de conformité.
Guide de sélection
Comparaison avec les alternatives
| Paramètre | Ce produit | MSPM0G5187SPMR | MSPM0G5186 | MSPM0G5185 | MSPM0G3507 |
|---|---|---|---|---|---|
| Package | 64-LQFP (10x10 mm) | 64-LQFP (10x10 mm) - same | 64-LQFP (10x10 mm) - same | 64-LQFP (10x10 mm) - same | 64-LQFP (10x10 mm) - same |
| Brand | Texas Instruments | Texas Instruments | Texas Instruments | Texas Instruments | Texas Instruments |
| ADC | 12-bit | 12-bit | 12-bit (family standard) | 12-bit (family standard) | 12-bit |
Principaux différenciateurs
- Integrated TinyEngine NPU for edge AI (vs MSPM0G3507)
- Native USB 2.0 Full-Speed (vs MSPM0G3507)
- Same MSPM0 ecosystem across family (vs MSPM0G5186)
- Trade-off: 128KB/32KB memory ceiling (vs MSPM0G5187SPMR)
Notes de conception
Decouple every VDD/VDDA pin with 100nF ceramic capacitors placed within 2 mm of the pin, plus one bulk 4.7uF-10uF capacitor near the device. On the 64-LQFP 10x10 mm footprint, use the exposed fanout layer to tie the thermal pad or ground plane with an array of vias. Keep the USB FS D+/D- traces as a 90-ohm differential pair with length matching, and route the I2S clock lines away from the ADC input traces to preserve 12-bit ADC noise performance.
The 1.62V to 3.6V supply range allows direct Li-Ion cell operation, but remember that flash programming and NPU-intensive inference bursts raise peak current versus idle mode - verify your regulator can supply the peak from the datasheet electrical characteristics tables. For battery designs, exploit the MSPM0 low-power modes: park the CPU in standby between NPU inference frames and gate sensor supplies with a load switch (e.g., TPS22860) to minimize quiescent drain.
Budget SRAM before choosing the NPU model: 32KB total must hold model weights, activations, and the application stack, so quantize models to int8 and validate with TI's edge-AI toolchain early in the project. Also remember MSPM0G pins are heavily multiplexed - generate the pin configuration with TI SysConfig rather than hand-editing registers, and confirm your final pin-mux against the 64-LQFP pinout table in the datasheet to avoid footprint rework.
Estimated: even at a conservative 20 mA average at 3.3V (66 mW), the 64-LQFP theta_JA of roughly 60-70 C/W on a standard 4-layer board yields under 5C junction rise - thermal design is rarely limiting for this MCU. Concentrate instead on ADC noise and layout quality; only high-drive GPIO or USB bus-powered scenarios with many active peripherals warrant a copper-pour review.
Informations de conformité
Compliance data not present in verified web data for this listing. TI product pages typically list RoHS/Green status per package option - confirm at https://www.ti.com/product/MSPM0G5187 before BOM approval.
