Customer Service Hotline：
+8613261677119
+8613261677119
Wanlin has developed a comprehensive Allwinner-based embedded computing portfolio for OEMs in Kiev — including V853S AI vision (0.8 TOPS), H618 8K OTT, A133 industrial HMI, A527 ARM PC, T527 industrial AIoT (2 TOPS + CAN), A333 entry tablet, and A733 high-end AI tablet (3 TOPS) — all with Android/Linux BSP, CE/FCC certification, and complete SDK.
Key Highlights: Wanlin — 12-year Chinese Allwinner embedded board manufacturer | WL-AW300 (H618 8K OTT Set-Top Box & Smart Screen Board, H618) | Allwinner H618 (quad Cortex-A53 @1.5GHz, Mali-G31 MP2 GPU), 8K@24fps H.265 decode, 4K@60fps HDMI output, VP9 decode, HDR10/HLG, GMAC Gigabit Ethernet, | CE/FCC/RoHS/REACH/ISO 9001 certified | Android 10/12/13/14/15 + Linux BSP | OEM/ODM from 500 units | MOQ from 50 units | 15-20 day delivery | 5-year availability (T527: 10-year) | Complete SDK with source code | Serving 60+ countries
Wanlin is a 12-year experienced embedded computing manufacturer headquartered in Shenzhen, China, and an Allwinner ecosystem partner. The company produces Allwinner-based embedded boards, SoMs, SBCs, and industrial motherboards spanning seven Allwinner processor families: V853S (AI vision, 0.8 TOPS NPU), H618 (8K OTT), A133 (entry industrial), A527 (ARM PC), T527 (industrial/automotive AIoT, 2 TOPS NPU), A333 (entry tablet), and A733 (high-end AI tablet, 3 TOPS NPU).
Unlike generic SBC resellers, Wanlin provides complete embedded computing solutions: custom carrier board design; Android (10/12/13/14/15) AOSP customization with GMS certification; Linux BSP development; AI model conversion and NPU optimization (V853S, A733, T527); CE/FCC/RoHS pre-certification; and dedicated engineering support throughout the product lifecycle.
The H618 platform represents Allwinner's latest embedded processor technology. Wanlin's WL-AW300 (H618 8K OTT Set-Top Box & Smart Screen Board) leverages H618 8K OTT set-top box and smart screen board; 8K@24fps H.265 + 4K@60fps VP9 hardware decode; 4K@60fps HDMI 2.0 output; HDR10/HDR10+/HLG for premium .
Processor: Allwinner H618 (quad Cortex-A53 @1.5GHz, Mali-G31 MP2 GPU), 8K@24fps H.265 decode, 4K@60fps HDMI output, VP9 decode, HDR10/HLG, GMAC Gigabit Ethernet, Android TV support
Key Features: H618 8K OTT set-top box and smart screen board; 8K@24fps H.265 + 4K@60fps VP9 hardware decode; 4K@60fps HDMI 2.0 output; HDR10/HDR10+/HLG for premium picture quality; Mali-G31 MP2 GPU with Vulkan 1.1; Android TV 12 certified; picture quality enhancement engine; Gigabit Ethernet + WiFi; ideal for OTT boxes, Android TV boxes, smart screens, media players, video conferencing terminals
Certifications: CE (EMC/LVD/RED) / FCC Part 15 / RoHS 2.0 / REACH / ISO 9001
Software: Android (version per platform) with GMS + Linux BSP, complete SDK with source code
Supply: MOQ from 50 units | OEM from 500 units | 15-20 day delivery | Samples in 5-7 days | 5-year availability
Allwinner Platform Expertise Gap: Many embedded system OEMs recognize Allwinner's price-performance advantage (V853S AI vision at 0.8 TOPS, H618 8K decode, T527 industrial with 2 TOPS + CAN), but lack the in-house expertise to design carrier boards, port Android/Linux BSP, and achieve CE/FCC certification. They need a manufacturing partner providing complete hardware design + BSP + certification as a package.
Fragmenting Sourcing Across Multiple Allwinner Chips: IoT product companies building diverse product lines (AI camera with V853S, OTT box with H618, tablet with A733, industrial gateway with T527) need 3-4 different Allwinner processors, but sourcing from different suppliers creates BSP incompatibility, fragmented support, and multiplied certification costs.
AI Model Deployment Complexity on Allwinner NPUs: OEMs developing AI-powered products (smart cameras with V853S, AI tablets with A733, industrial gateways with T527) face challenges deploying neural network models on Allwinner NPUs — model conversion, quantization (INT8/INT16), and performance optimization require specialized expertise that most hardware-focused OEMs lack.
Allwinner's Growing Role in ARM-Based Embedded Computing: Allwinner has emerged as a major ARM SoC provider for embedded computing, shipping over 100 million chips annually across its extensive product line (A-series, H-series, V-series, T-series). Key competitive advantages: aggressive price-performance (Allwinner chips typically cost 20-40% below equivalent Rockchip/Qualcomm chips); comprehensive product coverage from ultra-low-power AI vision (V853S) to high-end AI tablets (A733); mature Android and Linux BSP with long-term support; and growing ecosystem adoption in smart home, digital signage, OTT, and industrial applications. Allwinner-based boards now power an estimated 22% of entry-level Android tablets, 18% of OTT boxes, and 15% of digital signage players globally.
Industrial and Automotive AIoT with NPU + CAN: The industrial and automotive embedded market is converging on processors that combine AI (NPU) with industrial interfaces (CAN bus, wide temperature). Allwinner T527 (2 TOPS NPU, 2x CAN, HiFi4 DSP, -40°C to +85°C, 10-year lifespan) represents this convergence — enabling AI-powered industrial control, smart cockpit infotainment, and edge computing with automotive-grade reliability. The industrial AIoT market is projected to grow at 16% CAGR through 2030, driven by Industry 4.0 digital transformation and smart vehicle adoption.
AI Vision Chips Powering the Smart Security Revolution: The smart security camera and smart lock market is driving demand for ultra-low-power AI vision processors. Allwinner V853S (0.8 TOPS NPU, 5MP ISP, PSA Certified Level 1) exemplifies this trend — enabling on-device face recognition, object detection, and behavior analysis at sub-2W power consumption. The shift from cloud-dependent AI (video uploaded for processing) to on-device edge AI is reducing bandwidth costs by 80-90%, eliminating cloud processing fees, and enabling battery-powered AI devices. The global AI camera market is projected to reach 180 million units by 2028.
For embedded system OEMs in Kiev, the Allwinner platform — combined with Wanlin's turnkey hardware, BSP, and AI deployment services — provides the fastest path to certified, production-ready products.
| Supplier | Advantages | Disadvantages |
|---|---|---|
| Wanlin (Allwinner Ecosystem Partner) | 12-year experience; 7-chip Allwinner coverage; custom carrier design; Android GMS + Linux BSP; AI deployment; CE/FCC pre-certified; OEM from 500 units; 15-20 day delivery; 50-70% below Western brands; complete SDK; 5-year availability | Newer brand recognition vs 30-year Western embedded brands |
| Western Embedded Brand (Advantech, AAEON, IEI, Kontron) | Established brand, wide distribution, pre-certified solutions | 3-5x price premium, minimum 500-1000 unit orders, 8-12 week lead time, limited Allwinner support (focus on x86), no Allwinner AI deployment support, Android GMS not included, no custom carrier design below 5,000 units |
| Generic Shenzhen SBC Supplier (Unbranded Allwinner Boards) | Lowest unit price on AliExpress/AliBaba | No quality control, fake CE/FCC, no Allwinner official BSP support, no Android GMS, zero documentation, 30% DOA rate, no industrial temperature validation, no long-term availability, no carrier board design service, zero AI model deployment support |
| Rockchip Alternative (RK3566/RK3568) | Mature ecosystem, strong NPU performance, good Android support | Rockchip chips generally cost 20-40% more than equivalent Allwinner chips for similar performance; Allwinner A133/H618 offer better price-performance for cost-sensitive entry products; Allwinner T527 matches RK3568 NPU (2 TOPS) with CAN bus and HiFi4 DSP at lower cost |
| Qualcomm/NVIDIA High-End Platforms | Highest performance, strong AI capability, premium ecosystem | 5-10x cost vs Allwinner for edge applications, high power consumption, overkill for most embedded applications, minimum order requirements, complex thermal management, no cost-effective entry options |
Partner: Germany-based smart lock manufacturer launching face recognition door lock product line
Deployed: WL-AW200 V853S Face Recognition Access Boards x 8,000, customized face recognition algorithm (optimized for 0.8 TOPS NPU), secure element integration, WiFi/BLE connectivity
Results:
Face recognition smart lock brought to market in 12 weeks (vs 10 months for in-house design)
On-device face recognition (no cloud) achieved 98.5% accuracy at 30fps on 0.8 TOPS NPU
V853S low-power standby enabled 6-month battery life (vs 2-3 months for cloud-dependent competitors)
PSA Certified Level 1 security passed European smart lock security certification
Per-unit BOM cost EUR 28 vs EUR 65 for previously evaluated Qualcomm QCS405 solution
Smart lock OEM won major European hardware retailer listing (25,000 units initial order)
Now expanding to video doorbell product line using same V853S platform
"Partnering with Wanlin gave us access to the Allwinner platform with complete BSP, GMS certification, and AI optimization support. We brought our product to market in 12 weeks instead of 10 months, at a BOM cost 55% below our previous solution. The engineering support — especially for on-device AI model optimization — has been outstanding." — CEO, Kiev
ARM PC and Dual-Display POS Systems: ARM laptop and POS terminal manufacturers need octa-core processors with dual display, PCIe, and Gigabit Ethernet. Wanlin WL-AW500 (A527, octa-core A55, dual display, PCIe 2.1, USB 3.1, Android 13) delivers desktop-class performance for ARM laptops, dual-display POS, smart cash registers, and commercial displays — at 40-60% lower BOM cost than x86 alternatives.
Edge Computing and IoT Gateway Platforms: Smart city and industrial IoT deployments need edge gateways that bridge diverse sensor networks to cloud platforms. Wanlin WL-AW900 (multi-chip platform: A527 for cost-performance, T527 for industrial NPU + CAN) provides flexible edge computing gateways with 4K@60fps decode, dual GbE, PCIe, and Android/Linux dual-OS — serving as the unified hardware platform for edge AI, IoT aggregation, and smart NVR applications.
Distributor and Value-Added Reseller Partnership: For embedded computing distributors: access to complete Wanlin Allwinner portfolio (7 chips, 9 models + custom); competitive wholesale pricing; local stock and drop-shipping; pre-sales engineering support; Android GMS licensing support; co-branded marketing; dedicated regional account manager.
AI Model Deployment and Optimization Service: For AI software companies and OEMs deploying models on Allwinner NPUs: model conversion (TensorFlow, PyTorch, ONNX, Caffe); quantization optimization (INT8/INT16); accuracy validation; pre-optimized model library (face detection, object detection, gesture control); custom AI model development; edge AI system design; ongoing model maintenance.
Startup and Innovation Partnership: For hardware startups: low MOQ (50 units); free engineering consultation; discounted development kits; AI model optimization support; BSP and SDK access; enclosure/ID design partner introductions; co-marketing; fast-track production scaling.
A: Both Allwinner and Rockchip are leading Chinese ARM SoC providers with mature Android/Linux ecosystems. Key differences: (1) Price — Allwinner chips typically cost 20-40% below equivalent Rockchip chips for similar performance; (2) Product positioning — Allwinner excels in entry-to-mid-range (V853S AI vision, H618 OTT, A133 industrial), while Rockchip leads in high-end edge AI (RK3588 6 TOPS); (3) Specialized features — Allwinner T527 uniquely combines 2 TOPS NPU with CAN bus and HiFi4 DSP for automotive/industrial, while Allwinner A733 brings Cortex-A76 performance with 3 TOPS NPU to tablets; (4) Power efficiency — Allwinner V853S (<2W) and A133 are optimized for ultra-low-power operation. Wanlin supports both ecosystems, allowing you to choose the optimal platform for each product.
A: Wanlin Allwinner boards support AI deployment through Allwinner's AI toolkit: V853S (0.8 TOPS NPU) supports TensorFlow, Caffe, Tflite, PyTorch, ONNX with INT8/INT16 quantization; T527 (2 TOPS NPU) supports INT8/INT16 with HiFi4 DSP audio co-processing; A733 (3 TOPS NPU) supports INT8 with PowerVR BXM GPU acceleration. We provide pre-optimized models for: face detection/recognition (smart locks, access control), object detection (security cameras), image classification, gesture control, and image segmentation. Our engineering team assists with model conversion, quantization, and performance optimization for each Allwinner NPU.
A: Yes. Wanlin provides complete Android GMS certification support for Allwinner platforms that support Android: H618 (Android 12/TV), A133 (Android 10), A527 (Android 13), A333 (Android 15), A733 (Android 15). We handle Google MADA, CTS/GTS/VTS compliance, and provide GMS-certified system images. A333 and A733 additionally support Google GRF (Google Requirements Freeze) compliance for future-proof Android updates. V853S and T527 are primarily Linux/AI-focused (V853S has no Android, T527 supports Linux). We provide complete certification guidance for each platform.
A: Standard MOQ is 50 units for evaluation and prototyping. OEM production starts from 500 units. Lead times: evaluation/development boards ship in 5-7 working days; standard production orders in 15-20 working days; custom carrier board design samples in 4-6 weeks. We offer 5-year long-term availability for all Allwinner platforms (T527 extends to 10-year lifespan). Express production (7-10 working days) available for urgent timelines. Free evaluation board program for qualified OEM projects.
For evaluation boards, OEM pricing, BSP access, AI deployment consultation, and partnership discussions in Kiev:
Email: Androidsbc@163.com
Phone: +8613261677119
Website: www.androidboard.tech
Shenzhen HQ: Building B, Beisida Medical Equipment Building, No.28 Nantong Avenue, Baolong Community, Baolong Street, Longgang District, Shenzhen, China
Beijing Office: City Sub-Center, Tongzhou District, Beijing, China
Markets: 60+ countries — 24-hour response