Core Technology

AI + Edge Computing
Redefining Industrial Vision

From chip-level model compression to an end-to-end vision platform, TeraEdge deeply integrates cutting-edge AI algorithms with industrial hardware to build a complete Sense–Transmit–Decide technology stack.

AI Inference Engine
Edge-Side
Lightweight AI Inference

TeraEdge's proprietary AI inference engine is optimized for industrial edge scenarios. Through model quantization, pruning and knowledge distillation, model size is compressed to 1/20 while maintaining high-accuracy detection performance.

The core algorithms are based on a hybrid CNN + Transformer architecture supporting defect detection, OCR recognition, presence judgment and dimensional measurement — all four task types running on a unified hardware platform.

1/20
Model Size Reduction
6TOPS
Edge Compute Power
60fps
Real-Time Inference Rate
<8ms
Single-Frame Inference Latency
🧠
Edge Learning (EL)
No cloud needed — on-device online learning for new samples. As few as 5–20 images to fine-tune a model for new product variants, without retraining the full model.
⚡
Model Lightweighting
Proprietary quantization compression converts FP32 models to INT8, reducing memory footprint by 75% and boosting inference speed 3×, with accuracy loss under 0.5%.
🔁
Auto Imaging Optimization
Built-in AE/AF auto-exposure and auto-focus algorithms, combined with a motorized zoom lens, complete imaging parameter optimization within 1 minute — no manual tuning required.
📐
Sub-Pixel Precision Measurement
Sub-pixel edge detection algorithms enable dimensional measurement accuracy of ±5 μm (with high-resolution lens), meeting the demands of precision manufacturing inspection.
🎯
Multi-Task Parallel Inference
A single camera simultaneously runs OCR, defect, presence and dimensional algorithms. A resource scheduler allocates AI compute by priority so tasks never interfere with each other.
🛡️
Interference Robustness
Models are trained with extensive data augmentation to handle lighting variation, packaging material differences and minor vibration — significantly outperforming traditional vision in real production generalization.
Software Platform Architecture
Teralink AI Suite
End-to-End Vision Infrastructure

Teralink AI Suite is TeraEdge's proprietary computer vision full-lifecycle management platform, covering data capture, model training, deployment management and results analysis — supporting on-premise deployment and cloud-edge collaboration.

App Layer
Industrial AI Vision Apps
OCR · Defect · Presence · Measurement
Digital Production Dashboard
Real-Time Yield · Alerts · Traceability
Model Management Center
Version Control · Canary Release · Rollback
Platform Layer
Data Annotation Tool
Smart Pre-annotation · Crowdsourced Collaboration
Training Scheduler
Distributed Training · AutoML
Inference Service Gateway
Load Balancing · Circuit Breaking
Edge Layer
AS4 Smart Camera
EL Edge Learning · 7.2 TOPS
SV2000 Vision Controller
High Compute · Multi-Channel Parallel
Industrial Comms Gateway
400+ PLC · 90%+ Protocols
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Data Capture
Camera auto-triggers image capture; images stream to platform in real time, supporting capture-and-annotate simultaneously
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Smart Annotation
AI-assisted pre-annotation reduces manual annotation workload by 80%
// 03
Model Training
One-click training start; AutoML automatically searches optimal hyperparameter combinations
// 04
Evaluation
Auto-generates confusion matrix, PR curves and missed/false detection analysis reports
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One-Click Deploy
OTA push to edge devices — zero line stoppage for model updates
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Continuous Iteration
Difficult online samples auto-flow back; model continuously learns and improves
Industrial Communication
Breaking Down Device Silos
Full-Protocol Interconnection

TeraEdge industrial communication products support over 400 PLC drivers, covering 90%+ of mainstream industrial protocols. Whether collecting data from OT-layer PLCs or integrating with IT-layer MES/SCADA, a unified gateway enables transparent transmission.

Products are certified by Amazon Alexa, Google Actions, Apple HomeKit and AliGenie ecosystems — extending beyond industrial communication to also cover IoT and smart home scenarios.

Supported Protocols
Modbus TCP/RTU EtherNet/IP PROFINET OPC-UA MQTT EtherCAT PROFIBUS CC-Link DeviceNet CANopen BACnet DNP3 IEC 104 Fins MC Protocol S7 Comm KNX Zigbee Z-Wave Matter
400+
PLC Drivers Supported
90%+
Industrial Protocol Coverage
<1ms
Communication Latency
99.9%
Link Availability

Start with a Consultation

Our technical team provides free solution assessments — algorithm selection, hardware configuration through deployment implementation, we're with you every step of the way.

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