The TI AM62x is a low-cost, low-power Arm Cortex-A53/A15 multicore processor family from Texas Instruments, designed for industrial automation, edge AI, human-machine interfaces (HMI), and embedded vision applications.
BLIIoT’s ARMxy BL350 Edge Gateway integrates the TI AM62x processor with optional ROM/RAM configurations and a variety of I/O interfaces. The series is known for its high energy efficiency, rich peripheral options, and industrial-grade reliability, making it ideal for edge computing scenarios requiring real-time control and lightweight AI.
| Category | Specification |
|---|---|
| CPU | 1–4x Arm Cortex-A53 (up to 1.4GHz) + optional Cortex-M4F real-time core (400MHz) |
| GPU | Integrated GCN GPU (supports OpenGL ES 3.1/2.0 in select models) |
| AI Acceleration | Optional 0.5–2 TOPS NPU (e.g., AM62A7), supports TIDL deep learning framework |
| Memory/Storage | Supports LPDDR4, DDR4 (up to 4GB), eMMC 5.1, SD 3.0 |
| Multimedia | 1080p60 H.264/H.265 encode/decode, dual MIPI-CSI camera inputs |
| Peripheral Interfaces | - Industrial: 2x CAN-FD, 8x UART, 4x SPI, Gigabit Ethernet (TSN) - Display: LVDS/HDMI 1.4, dual-screen support - Expansion: PCIe 3.0, USB 3.0, 2x PRU-ICSS (real-time industrial protocols) |
| Reliability | Industrial-grade temperature range (-40°C to +105°C), functional safety support (ASIL-B/D options) |
Industrial Control: PLCs, motion controllers leveraging Cortex-M4F for low-latency tasks.
HMI: Touchscreen panels with LVDS/HDMI dual-display and OpenGL graphics acceleration.
Machine Vision: AOI inspection, barcode recognition via MIPI-CSI + lightweight NPU inference.
Edge AI Gateways: Vibration/temperature monitoring with TinyML models accelerated by NPU.
Smart Retail: Self-checkout terminals with face recognition (NPU) and 1080p video playback.
IVI Systems: Entry to mid-level car infotainment, supporting Android Auto/Linux.
Cluster Displays: Digital dashboards (may require external GPU for enhanced rendering).
Smart Meters: CAN-FD and PRU-ICSS support for real-time industrial communication.
PV Inverters: Real-time power regulation using Cortex-M4F.
| Strengths ✅ | Limitations ❌ |
|---|---|
| Industrial-grade reliability (wide temp, long lifecycle) | Weak GPU for complex 3D rendering (external accelerator required) |
| High energy efficiency (<3W typical) | Limited NPU performance (only in AM62A7 variants) |
| Rich real-time interfaces (CAN-FD/PRU) | Memory bandwidth constraints (not suited for heavy HPC) |
| Robust TI ecosystem (SDK/RTOS support) | Open-source community support weaker than Renesas/NXP |
| Feature | TI AM62x | Allwinner T507-H |
|---|---|---|
| CPU | 4x A53 + M4F (real-time core) | 4x A53 |
| NPU | 0.5–2 TOPS (optional) | None (external required) |
| Industrial Interfaces | CAN-FD + PRU-ICSS | CAN 2.0B |
| Display Output | Dual-screen (LVDS/HDMI) | Dual-screen (LVDS/HDMI/RGB) |
| Power Consumption | <3W | 3–5W |
| Target Scenarios | Real-time control + edge AI | Multimedia + industrial HMI |
The TI AM62x is positioned for the industrial and edge computing market, offering:
Real-time capability: Cortex-M4F + PRU-ICSS for strict timing control.
Flexibility: NPU-enabled models (AM62A7) for lightweight AI inference.
Industrial compatibility: CAN-FD and TSN Ethernet for major industrial protocols.
Recommended Use Cases:
Industrial devices requiring real-time control (e.g., PLCs, HMIs).
Low-power edge AI devices (e.g., intelligent sensor gateways).
Not Recommended:
High-performance graphics rendering (external GPU required).
Heavy AI workloads (prefer higher NPU performance or Jetson).
Alternative Options:
For higher performance: TI AM64x (dual Cortex-A72).
For stronger AI: NVIDIA Jetson Orin Nano.
