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TB-3568X development board copy board

Name: TB-3568X development board copy board

The number of layers that can be copied: 1-32 layers

Minimum line width and line spacing: 3mil

Minimum laser aperture: 4mil

Minimum mechanical aperture: 8mil

Copper foil thickness: 18-175цm (standard: 18цm35цm70цm)

Peel strength: 1.25N/mm

Minimum punching hole diameter: single side: 0.9mm/35mil

Minimum hole diameter: 0.25mm/10mil

Aperture tolerance: ≤φ0.8mm±0.05mm

Hole tolerance: ±0.05mm

Hole wall copper thickness: double-sided/multi-layer: ≥2um/0.8mil

Hole resistance: double-sided/multi-layer: ≤300цΩ

Minimum line width: 0.127mm/5mil

Minimum pitch: 0.127mm/5mil

Surface treatment: rosin spray tin electric gold, anti-oxidation, chemical gold, carbon oil

Warpage: ≤0.7%

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Product Details Data Sheet

【RK3568 quad-core 64-bit processor】RK3568 quad-core 64-bit Cortex-A55 processor, frequency up to 2.0GHz - greatly improved efficiency. Using 22nm lithography process, low power consumption and high performance

[Dual Gigabit Ethernet Ports] Equipped with dual adaptive RJ45 Gigabit Ethernet ports, which can access and transmit internal and external network data, improve network transmission efficiency, and meet the needs of NVR (Network) and other multi-network port products. video recorders) and industrial gateways

【Powerful wireless network communication】Support WiFi V4.1 (802.11a/b/g/n/ac) wireless network communication, fast transmission speed, lower packet loss rate and retransmission rate, more effectively reduce data congestion, let Transmission is more stable and secure. 5G/4G modules can also be connected to enable products with higher speed, larger capacity and lower latency communications

【Support Android and Ubuntu】Android 11.0, support Ubuntu OS. Stable and reliable operation provides a safe and stable system environment for product development and production

[Application] Support 8bit/16bit computing, AI computing power up to 0.8TOPs; Compatible with CaffeMxnet/TensorFlow model, supports various types of frameworks. It can be widely used in intelligent NVR, cloud terminal, IoT gateway, industrial control, edge computing, face recognition gate, NAS, vehicle center console, etc.