Robot Vision Solution-Industry Solutions & Case Studies-Vietadata Holding (Shenzhen) Group Co. Ltd

Core Products

Standard Algorithm 50+ Integrated Machine Algorithm Server High Performance Comprehensive Algorithm Server Robot Vision Module AI Vision+Digital Intelligence Integration Solution

Industry Solutions & Case Studies

Logistics and Warehousing Park Warehouse and Yard Energy Mines Energy Nuclear Power The Belt and Road Overseas Free Trade Zone Robot Vision Solution Drone Vision Solution Bright Kitchen and Stove

Customized Algorithm Products

Robot Vision Solution

Exploratory Breakthrough

Domain Innovation

Develop a composite vision system for robots that can simultaneously handle environmental monitoring and human interaction

Technical Validation

Complete the complete chain of environmental perception, behavioral understanding, and emotional interaction and run smoothly

Why Choose Robot Vision?

Industry Status

More natural anthropomorphic interaction

The visual system generally stays at the basic obstacle avoidance stage

Our Hypothesis

Empowering robots with the ability to 'understand the world' will open up:

More natural anthropomorphic interaction

More intelligent autonomous decision-making

More extensive application scenarios

Experimental Project Milestones

Building Basic Visual Abilities

Successfully transplanted lightweight visual algorithm (less than 500MB memory usage)

Implement basic recognition of facial/workwear/safety equipment

Building Basic Visual Abilities

Establish the first set of robot exclusive visual feature library:

Water accumulation reflective texture model

Flame dynamic feature library
• Complete the concept verification of inspection scenarios（PoC）

Exploring the Possibility of Interaction

Capture 6 basic micro expression changes

Realize multimodal feedback of voice and vision

Technical Implementation Path

Minimum Feasible System

Customized development module (compatible with ROS/Android)

Continuous Iteration Mechanism

Establish a robot vision data lake (continuous collection/annotation/training)

Periodic Harvest

Verify Dimensions	Laboratory Results	Difficulties to Be Overcome
Environmental Recognition	Complete stable identification of 5 types of calibration objects	Insufficient adaptability to complex light and shadow
Personnel Interaction	Implement basic expression voice linkage	The accuracy of intention understanding needs to be improved
System Stability	Continuous fault free operation for 48 hours	Reliability verification in extreme environments

Feedback from Partners

This collaboration has shown us the potential of visual intelligence in embodied systems, especially the experimental data obtained in understanding unstructured environments, which provides key references for the planning of next-generation products.

——Technical Director of a Robot Laboratory

Exploring Directions Together

Robot Vision Open Experiment Program

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Prototype Cooperative Development Qualification

Apply for Testing