CASE STUDY Automotive
Video/Image annotation support for ADAS/AD in the automotive sector
About the client Our client is a leading global engineering and technology company offering solutions in mobility, industrial technology, energy, building technology, and consumer goods, since 1886.
Headquarter
Employees
402,600
Gerlingen, Germany
Revenue
USD 78.7 Mn
Objective and challenges Having established a technology division to develop autonomous cars, the firm required support to label various objects by providing codes for developing the autonomous driving application. The challenges they faced:
Volatility in work volumes and gaps in annotation knowledge
Maintenance of user productivity delivery turnaround times
Adherence to accuracy and quality
Increased TAT and cost from poor quality of video/ image files
Unstable internet bandwidth requirements (Upload/Download)
Inadequate productivity
High TAT due to errors, given the absence of a 2-level review process
Short timeline for hiring resources
ODC setup
High rate of attrition
Absence of quick learning curves