The Client is the leader in developing transportation & logistics solutions for the Transportation & service Industry. The client is looking for a reliable partner who will help them in relinquishing the logistics automation battle with AI & ML-based solutions. the objective is to develop a defects tracking system to identify the type of defects present in the container with its location within the container to share its corresponding ISO with the client.
Our AI/ML squad at FiftyFive Technologies joined the client’s shared tech force to perform the development. Here is the solution delivered by our diligent AI/ML engineers-
A cutting-edge defect detection system: Our tech team incorporated Object detection to solve the problem to track defects in the containers.
Tech Stacks used: The team used Yolo v8 for the purpose of image segmentation to boost the accuracy in detecting the objects. For the purpose of data modelling & annotating the image, CVAT has been used to spot the defect. The entire model has been trained using GPU servers. For a perfect solution, the following tech stacks were utilized- Python, Matplotlib, OpenCV, redis, docker, tensorflow-js, Scikit-learn, Numpy, Matplotlib, JSON, git, MongoDB, Flask, and Apache, . CUDA Toolkit, cudnn.
Automation is critical for the logistics Industry to ride the waves of uncertainty. With this partnership, our client successfully delivered transparent solutions to the logistics & transportation industry. Following are the outcomes derived-
Standardization: Our team made the system more efficient & standardized
Infused Automation: Our problem-solving approach helped the clients to attain a high degree of automation
High Accuracy scores: The model’s accuracy to detect defects in the container increased by more than 90% and it led to tremendous quality improvement
Rigorous Tech Consultancy: Our team extended continuous tech consultancy & support to advise the client about the profitable technologies which will triumph and help them to stay ahead of the competitors.