Solutions
AI Agent Understanding

Indoor smart devices such as robotic vacuum cleaners, home care robots, indoor drones, etc., need to cope with complex indoor environments, and possess the ability for environmental mapping, navigation planning, and object recognition. Coohom Cloud aims to assist smart device manufacturers in cost-effective data collection and utilization through large-scale indoor environmental data, including annotated 2D image datasets and 3D environmental data.

AIGC

In the era of AIGC technology explosion, various generative large-scale models have emerged. Typically, these models are pre-trained based on a large amount of data. Coohom Cloud can provide training data resources including images, videos, models, and other elements, along with a comprehensive labeling system, to assist AIGC researchers in achieving breakthroughs in large-scale model technology.

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Robotic Simulation

Robot simulation allows for quick, cost-effective, and safe validation of products. Coohom Cloud provides a simulation environment with high rendering quality and physical realism, combined with specific simulation platforms to create a simulation environment database, offering support for enterprise robot simulations.

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Visualized Product Promotion

The visualized product promotion is to empower customers to experience product charm. Coohom Cloud, through its 3D data resource library and high-fidelity environmental display capabilities, immerse users to in the allure of products within a virtual environment.

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XR

High-quality datasets significantly enhance the environmental adaptation and user experience of AR/VR/MR systems, such as precise virtual-physical integration effects and smooth interactive operations. Simultaneously, datasets empower content creators to access necessary 3D models, textures, and animation resources, driving content innovation and thus effectively advancing the overall progress and widespread application of XR technology.

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AI Agent Understanding

Generate synthetic data based on virtual scenes to elevate the intelligence of AI Agents.
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Solution Details

Indoor smart devices such as robotic vacuum cleaners, home care robots, indoor drones, etc., need to cope with complex indoor environments, and possess the ability for environmental mapping, navigation planning, and object recognition. Coohom Cloud aims to assist smart device manufacturers in cost-effective data collection and utilization through large-scale indoor environmental data, including annotated 2D image datasets and 3D environmental data.

Industry Challenge

Difficult Data Acquisition
01
AI model training heavily relies on data support, and qualified data has become a bottleneck that hinders technological progress。
Tedious Data Processing Workflow
02
Often, data cannot be directly used and requires cleaning of unqualified data and annotation, which is a laborious task consuming significant manpower and time。
High Data Costs
03
The amount of data required for AI applications is often immense, and improving the performance of models does not follow a linear relationship, making data investment a significant challenge。
Privacy Concerns
04
During the data collection process, it is often difficult to avoid dealing with sensitive personal information or data relevant to public interests, posing a tricky situation in terms of handling such data。
Solution Advantage
01 /
Quality and Accuracy
Comprehensive data management and review mechanisms ensure quality control throughout the data delivery process. Unqualified data is carefully screened and cleaned using a combination of automated tools and manual quality checks, guaranteeing that the delivered data is ready for use。
02 /
Cost Effectiveness
By leveraging the extensive database and large-scale rendering capabilities of Coohom, we significantly reduce the production costs of synthetic datasets. Compared to real data, the overall cost is reduced to one-third or even lower。
03 /
Data Security Assurance
We adopt compliance measures at the data source, ensuring that no real data is accessed during the data generation process. Our datasets do not include any sensitive information, thus ensuring compliance with the data usage requirements of our clients。

Service Process

01 Scene Design

Utilizing Coohom's comprehensive scene design tools, we create customized indoor environments for various settings, including residential, commercial, and medical spaces. With an extensive collection of scene data resources, we construct data acquisition sources to meet diverse research needs。

02 Data Collection

We have developed the specialized synthetic data collection platform, KOOLAI. Building upon a large volume of scenes, we enable flexible data capture, including parameterized camera settings, trajectory options, and lighting effects, closely simulating the data capture process of AI devices, allowing for data collection almost indistinguishable from real scenarios。

03 Data Annotation

Eliminating the need for labor-intensive manual annotation, our synthetic data technology facilitates the capture and transformation of structured environment data with pixel-precise labeling. By combining automated annotation tools with human input, we provide annotations encompassing semantic, material, positional, and status information, achieving highly accurate labeling results。

Let‘s Talk About Your Project

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