
Empower You to be AI Expert
without AI professionals
Auto-Upgrade Edge AI Solution
Auto-Upgrade Edge AI Solution


Free AI to
Recognize Anything

Get AI Capabilities
for Free

Create AI
at Any Time

E-Song Edge AI Solution
E-Song Edge AI Solution is a self-developed, patented, and no-code solution with two parts, ESLP (E-Song Self-Learning Platform) and E-Song Edge AI Box, to empower any company to become an AI expert without AI professionals involved. It's offered to anyone who can describe or define a working environment or process to enhance efficiency, decrease labor, monitor to follow management or safety regulations, and work out an AI solution. You can train different AI applications/models on ESLP (E-Song Self-Learning Platform) and run AI models on the E-Song Edge AI Box, where you can set your own alert rules to recognize different objects at different statuses, detect actions/behaviors, recognize speech, track objects or people, search faces, and conduct OCR, by processing data from cameras, audio equipment, IoT devices, or historical records. The E-Song Edge AI Box is also embedded with a management system that allows you to manage alert rules flexibly with a user interface, and apply changes immediately. You will always get notified when the situation you want to observe occurs, in optional ways like alarms, control systems, mobile app notifications, SMS, emails, etc. It can also collect live data from equipment in actual field use and offload data to ESLP to train or fine-tune AI models, thus auto-upgrading AI models to run on the Edge Box.

Easy to Connect Your Devices

Compatible with
Existing Devices

Independent
Management System

System
Edge AI Box Connection Diagram
E-Song Edge AI Box is a powerful AI computing hardware with an embedded management system to run AI sense model inference, send alerts in different ways, and generate alert reports. It can simply connect to any display to set alert rules flexibly for different devices with a no-code user interface, send alerts, and generate alert reports. It can run cross-models including object, speech, text, action, tracking, face recognition, and face/speech/text search. It analyzes live data in milliseconds (ms) from different types of cameras (CCTV, body cameras, drone cameras, etc.), audio/IoT devices via general protocols like RTSP, ONVIF, RTMP, Zigbee etc., as well as historical data via FTP or USB connection. It supports up to 8–192 channels live inference and has USB, HDMI, Ethernet, RS232, RS485 interfaces to external peripherals. It is also optional with 4G/LTE/5G/WIFI/BLE and 4×2TB HDD max. It also supports sending alerts to external peripherals like sirens, customer management/control systems via API. E-Song can also offer an SDK for customers to develop their own systems.

Easy to Use
No Code Monitor Rule Development
Cross Model Inference
|Supported AI models
Trained on ESLP & Run on Edge AI Box
Object

Multi-Object
Recognition

Dress
Recognition
Defect
Identification

Maturity
Identification
Speech

Sensitive Word
Detection

Audio Content
Positioning
Voice Trigger

Meeting Minutes
Track

Vehicle Trajectories

Abnormal Movement
of Goods
Specified Target
Tracking

Distribution of
Human Activities
Action

Workflow Identification

Abnormal behavior
Pose Recognition

Fall Detection
OCR

Multi-Object
Recognition

Dress
Recognition
Defect
Identification

Maturity
Identification
Face Search

Face Recognition

Cross-Age Recognition
Extreme condition detection

Search on social media
Face/Liscence Plate Blur

Out-of-Object Blur

Object Blur

Face blur under certain conditions
The Advantages of ESLP
No Code AI Model Creation

Easy to Operate

Requires Only Minimal
Training Data

Auto-Labeling

Allow Manual
Adjustment

Train your AI Model
Any Time
ESLP Deployment Method

On Your Server

Workstation

On ESONG Cloud
E-Song Self-Learning Platform(ESLP)--Patented
E-Song Self-Learning Platform(ESLP) is a tool platform allows you to auto-annotate datas and train different AI models with no-code users interface to fit different applications. It can train cross-models including Object, Action, Tracking, Speech, Text(OCR), face. It can be implemented both on local server or cloud server and keeps your private data confidential.
Edge AI VS Cloud AI
The common sense in AI field is that AI on Edge is a tendency. Compared to AI on cloud, AI on Edge has such advanges, low operation cost and do not need to pay high subscription, Edge allows to work in LAN, thus, the network is more stable, speed is faster and more suitable dfor live inference applications. Furthermore, data is more secure.