vlg AI Intelligence

　　I. Core AI Capability System (Focusing on Hardware Collaboration)

　　VLG's AI Intelligence is centered on "lightweight, low power consumption, and strong adaptability," building capabilities around three key needs of communication hardware: "signal optimization, enhanced interaction, and fault warning." Specifically, it is divided into three categories:

　　**AI Signal Dynamic Adjustment Capability**

　　**Core Function:** Based on real-time environmental data (signal strength, interference sources, device location), it dynamically optimizes hardware parameters through lightweight AI algorithms, solving communication blind spots and signal fluctuation problems.

　　**Technical Implementation:** An edge AI chip (computing power ≤ 1 TOPS, adaptable to low power consumption requirements) is integrated into VLG communication modules (such as 4G/NB-IoT). Algorithm models (such as signal fingerprint recognition and interference source classification) are trained on over 100,000 scenario data points, enabling:

　　**Automatic switching of antenna frequency bands (e.g., indoor priority Wi-Fi, outdoor 4G switching), with a switching response time ≤ 100ms, improving signal stability by 40%;

　　**Identification and filtering of specific interference (e.g., microwave oven, Bluetooth device interference), temporarily improving shielding effectiveness.** 15-20dB, transmission error rate reduced to ≤0.01%;

　　Hardware compatibility: Requires a VLG adjustable impedance antenna (impedance deviation within ±5%) and a wiring harness with data acquisition function (real-time transmission of signal parameters). Supports wide operating temperature range of -40℃ to 85℃ (suitable for industrial/automotive scenarios).

　　Enhanced AI Interaction Experience:

　　Core Functions: Integrates lightweight AI algorithms to optimize interaction accuracy and naturalness for human-computer interaction needs (voice, touch, environmental perception) on hardware terminals, without relying on large cloud models.

　　Technical Implementation: Embeds offline AI models in a VLG micro PCB module (area ≤30cm²), suitable for consumer and industrial scenarios.

　　Voice Interaction Optimization: Supports children's voice/dialect recognition (covering Mandarin, Cantonese, and Sichuan dialect, with a recognition accuracy ≥93%), noise filtering (e.g., environmental noise reduction rate ≥40% in children's toy scenarios), model size ≤50MB (suitable for 1000mAh batteries). (The following battery devices);

　　Environmental Awareness and Interaction: Sensors (temperature, humidity, light, vibration) connected via VLG harnesses trigger AI to automatically respond to hardware (e.g., when vibration exceeds a threshold in a vehicle environment, the antenna automatically switches to anti-interference mode; when an AI-powered plush toy senses dimming light, it automatically reduces speaker volume);

　　Hardware Compatibility: Requires a VLG high-sensitivity microphone harness (pickup angle ≥120°) and a low-latency communication module (interaction command transmission latency ≤80ms).

　　AI Hardware Fault Warning Capability

　　Core Function: By analyzing the operating data (current, temperature, signal attenuation) of communication hardware (harness, antenna, module) using AI, fault risks are predicted in advance, reducing maintenance costs.

　　Technical Implementation: A data acquisition chip is integrated into the VLG hardware. The AI algorithm establishes a fault model based on device lifecycle data (e.g., harness bending count, module operating time):

　　Harness Fault Warning: Identifies precursors such as "conductor oxidation" and "shielding layer damage" (e.g., abnormal resistance fluctuations ≥5%), providing warnings 7-14 days in advance. Daily push notifications with an accuracy rate ≥85% (compatible with industrial equipment wiring harnesses, such as smart water meter wiring);

　　Module lifespan prediction: Based on module operating temperature and voltage fluctuation data, predicts remaining lifespan (error ≤10%) to avoid sudden disconnections (e.g., vehicle communication modules require 3 months' advance warning for replacement);

　　Hardware compatibility: Requires VLG wiring harnesses with current/temperature detection (detection accuracy ±0.1A/±0.5℃) and communication modules supporting data backhaul (e.g., NB-IoT, monthly data transmission ≤10MB, reducing traffic costs).

　　II. Technical compatibility features (deep collaboration with VLG hardware)

　　Low power consumption design (adapting to hardware battery life requirements)

　　AI algorithm optimization: Employs model quantization (INT8 accuracy) and pruning techniques (redundant parameters reduced by 60%), AI operating power consumption ≤50mW (only 1/20th the power consumption of traditional cloud AI calls), compatible with VLG low-power hardware (e.g., AI plush toys, IoT terminals), extending battery life. 20-30%;

　　Computing Power Tiers: We offer a three-tiered solution based on hardware scenarios: "Micro-computing power (≤0.1 TOPS, e.g., consumer toys) - Light computing power (0.1-1 TOPS, e.g., vehicle terminals) - Medium computing power (1-5 TOPS, e.g., industrial base stations)," avoiding power waste caused by excessive computing power.

　　Modular Hardware Integration (Lowering the Adaptation Barrier)

　　We provide an integrated kit of "AI algorithm module + communication hardware": AI algorithms are pre-programmed into VLG communication modules (e.g., Quectel module compatible models), and the wiring harness has reserved sensor interfaces. Customers do not need additional development, shortening the integration cycle to 1-2 weeks (traditional solutions require 4-6 weeks);

　　Support for Custom Hardware Parameters: AI algorithms can automatically calibrate model parameters according to customer hardware specifications (e.g., antenna gain, wiring harness length), with an adaptation error ≤8% (e.g., for a customized vehicle AI system for a car manufacturer). (Module adapted to antenna installation locations for different vehicle models)

　　Data Security and Compliance

　　Offline Operation Priority: Over 90% of AI functions support local offline operation (e.g., voice recognition, fault warning), avoiding user data uploads to the cloud and complying with GDPR and China's Personal Information Protection Law;

　　Model Security: AI models are stored using encrypted storage (AES-256 encryption) to prevent tampering; a data collection whitelist is set on the hardware side (only non-privacy data such as signal and temperature are collected), and the data retention period is customizable (1-30 days).

　　III. Typical Application Scenarios (Combined with VLG's Existing Products)

　　Industrial IoT Device Scenarios (e.g., smart water meters, base stations)

　　AI Capability Adaptation: AI Fault Warning + AI Signal Conditioning

　　Application Logic:

　　VLG industrial-grade wiring harnesses (with current detection) collect current/temperature data from the water meter communication module in real time. AI algorithms predict module faults (e.g., battery aging, signal module abnormalities) and push warnings to the management platform via the NB-IoT module, reducing the number of on-site maintenance operations. 60%;

　　Outdoor base station VLG adjustable antenna: AI dynamically switches frequency bands and power based on real-time interference sources (such as surrounding 5G base stations, thunderstorms), keeping base station signal coverage fluctuations within ±5% and reducing disconnection rate to ≤0.5%/month;

　　Hardware configuration: VLG industrial-grade NB-IoT module (AI version) + PE/PVC wiring harness with detection function + anti-interference antenna

　　Consumer-grade AI hardware scenarios (such as AI plush toys, in-vehicle terminals)

　　AI capability adaptation: AI interaction enhancement + AI signal conditioning

　　Application logic:

　　In AI plush toys, the VLG micro PCB module integrates an offline voice AI model, which can recognize children's vague commands (such as "tell a bear story" rather than a precise wake word), improving interaction accuracy to 95%. Simultaneously, AI dynamically adjusts microphone sensitivity based on ambient noise (such as living room TV sound), temporarily increasing noise reduction rate to 45%;

　　In in-vehicle terminals, VLG... The vehicle communication harness collects vehicle vibration and location data. AI automatically determines "high-speed driving" and "tunnel environment," triggering antenna switching (high-speed priority 4G, tunnel switching enhanced 2G), reducing voice call dropout rate to ≤1% (traditional solutions approximately 5%).

　　Hardware Configuration: VLG consumer-grade Wi-Fi + Bluetooth dual-mode module (AI version) + FPC flexible harness + low-radiation antenna

　　Medical Auxiliary Equipment Scenarios (e.g., portable monitors)

　　AI Capability Adaptation: AI signal stabilization + AI data preprocessing

　　Application Logic:

　　Portable monitors (e.g., heart rate monitoring devices) transmit data via the VLG NB-IoT module. AI filters out interference from hospital equipment (e.g., MRI, monitor electromagnetic radiation) in real time, improving signal transmission stability by 50% and reducing data loss rate to ≤0.1%.

　　Physiological data (heart rate, blood oxygen) collected by the VLG harness is preprocessed by AI (outlier removal, data smoothing) before being transmitted to the cloud, reducing invalid data. 30% reduction in cloud computing power consumption;

　　Hardware Configuration: VLG medical-grade communication module (compliant with ISO 13485 standard) + shielded wiring harness (shielding effectiveness ≥60dB) + miniature antenna

　　IV. Customized Services and Compliance Certification

　　AI Capability Customization Process

　　Requirements Assessment: Define hardware scenarios (e.g., industrial/consumer grade), core AI requirements (signal optimization/interaction/early warning), and hardware parameters (power consumption ≤XX mW, temperature range);

　　Algorithm Adaptation: Fine-tune based on VLG's existing AI model library (10+ basic models), complete prototype development in 3-5 days, and support customer-provided scenario data (e.g., specific interference source data) to optimize the model;

　　Hardware Integration: Integrate and test the AI module with VLG communication hardware (antenna, wiring harness, module), complete sample delivery within 2 weeks, and support OTA algorithm upgrades during mass production (achieved through the VLG communication module);

　　Compliance and Certification

　　Functional Safety: AI fault warning function complies with IEC standards. 61508 (industrial grade), ISO 26262 (automotive grade, ASIL B) standards, false alarm rate ≤5%;

　　Data Security: Offline AI models comply with GDPR Article 25 (Data Protection Design) and China's "Regulations on the Management of Network Data Security," and do not collect user privacy data (e.g., voice content is processed locally only and not stored);

　　Hardware Certification: VLG hardware with AI capabilities retains its original certifications (e.g., CCC, CE-RED, ISO 13485), and the AI module does not add additional certification complexity.

　　V. Selection Recommendations (Matching AI Capabilities to Hardware Scenarios)

　　Industrial IoT Hardware Scenarios (e.g., smart sensors, base stations): Prioritize the "AI signal conditioning + AI fault warning" combination, focusing on AI computing power ≤1 TOPS (control power consumption), wide temperature adaptability (-40℃~85℃), fault warning accuracy ≥85%, paired with VLG industrial-grade communication modules and shielded wiring harnesses;

　　Consumer-grade AI Hardware Scenarios (e.g., AI... For toys and portable devices: Prioritize "AI interaction enhancement + lightweight signal conditioning," focusing on AI operating power consumption ≤50mW (extending battery life) and offline voice recognition accuracy ≥93%, paired with VLG consumer-grade low-radiation antennas and FPC flexible wiring harnesses;

　　For medical assistive devices: Prioritize "AI signal stabilization + AI data preprocessing," focusing on medical-grade certification (ISO 13485), shielding effectiveness ≥60dB (interference resistance), and local data processing (no uploading of private data), paired with VLG medical-grade modules and low-latency wiring harnesses.