An intuitive, user-friendly Object Recognition Software built to effortlessly detect, recognize, extract, and analyze objects from video content.
Our dedicated team of AI/ML developers created a custom solution for the automation of video analysis for data classification and labeling. The solution utilizes pre-established rules and dynamic data to achieve its purpose.
Our client's objective was to reduce the time spent manually scanning videos to identify objects. Our state-of-the-art software solution successfully accomplishes this task with remarkable accuracy and efficiency.
A preview of completely tailored video processing software that leverages Machine Learning to extract valuable information from uploaded videos.
During the project, we encountered several challenges related to object identification, model training, and object categorization. These challenges included the need for more precise categorization, enhancements to datasets, and ensuring high accuracy of the results. The team worked tirelessly to overcome these challenges and deliver a successful project outcome.
We extend our heartfelt gratitude to ArhamSoft for the exceptional job they have done for us. The AI/ML experts at ArhamSoft showcased a remarkable level of expertise, diligence, and professionalism throughout the project. They not only delivered an exceptional product but also provided extraordinary support to address any questions or concerns we had. Their commitment and dedication to ensuring customer satisfaction is commendable, and we would wholeheartedly recommend their services to anyone seeking to enhance their AI/ML capabilities.
Python
C
Mongo DB
Express
React
Node
