From HIL to RIL. Vehicle Grade Technology Enters Embodied Data Acquisition, Real Machine Deployment Now Has a Standardized Entry Point
从HIL 到 RIL！车规级技术杀入具身数采，真机落地有了标准化入口
Tsing-Ego Pro, the vehicle-grade first-person data acquisition solution launched by Qingyan Precision, introduces the mature vehicle-grade technology system from the automotive industry into industrial embodied data acquisition. This solution adopts an eight-eye hardware synchronization architecture, achieving synchronization accuracy of ≤1ms, and combines with the RIL (Robot-in-the-Loop) pilot system to provide a standardized verification path for industrial deployment.
Source: RoboSpeak — WeChat · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
data synchronization precision
≤1
View original evidence
在数据同步精度上，Tsing-Ego Pro采用八目硬件同步架构，通过外部硬件触发统一控制多路相机曝光，配合帧起始硬件时间戳，实现头部与双腕端到端≤1ms的同步精度。
Open source S17continuous data collection duration
5 hours
data synchronization accuracy
≤1
View original evidence
在数据同步精度上，Tsing-Ego Pro采用八目硬件同步架构，通过外部硬件触发统一控制多路相机曝光，配合帧起始硬件时间戳，实现头部与双腕端到端≤1ms的同步精度。
Open source S17
- paper: not_reported
- code: not_reported
- weights: not_reported
- dataset: not_reported
What remains unknown
Not established in the collected evidence: Environment, Control, Data origin.
Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
在数据同步精度上，Tsing-Ego Pro采用八目硬件同步架构，通过外部硬件触发统一控制多路相机曝光，配合帧起始硬件时间戳，实现头部与双腕端到端≤1ms的同步精度。
Open source S17
续航上支持连续5小时以上采集，同时兼容可拆卸电池与有线双供电模式，可根据现场需求灵活切换。
Open source S20
存储层面采用分片写入与原子提交机制，配合断电恢复与校验索引技术，即便遭遇突发断电，也能保全已采集的完整数据片段。
Open source S19
数采设备的价值标准，也因此从“摄像头参数”转向了一组工程指标： 能不能稳定跑完一场采集，能不能及时发现废片，最终留下多少真正进得了训练集的数据。
Open source S23
Source：RoboSpeak — WeChat · mp.weixin.qq.com