• AITACS has a streamlined procedure to address the IT recruitment and Staffing services, by adhering to hassle free procedures. We are specialized in planning and taking forward all kinds of technology staffing requirements and help the clients to get the best of best talent within short notice.

      We provide IT staffing for various skill sets, demanding recruitment levels and immediate job requirements

      Cost effectiveness is a promise of our work culture

      High quality and productivity with transparency all over

      Quick turnaround time without quality compromise

      Easy adaptation to trending technologies

      Fast staffing response time process with low level of risk at client's end

      Clearly defined recruiting terms and conditions

      Matured management with high governance rate

      Aita’s engineering team comprises of SMEs in specific domains such as Energy, Utilities, Chemicals, Manufacturing, Pharma and Life sciences. Apart from a strong domain knowledge they also have STEM degrees from leading universities.

      MSP/VMS programs bring the advantages of standardization, cost savings, and SLA-measured results to your staffing process.

      Aita Consulting Services, Inc. is a U.S. specialty staffing supplier to vendor-neutral MSP/VMS clients. Our methodology embraces the efficiency of MSP/VMS/VMO programs and leverages their capability to minimize client cost and maximize response time, coverage and compliance. An industry-specific Dedicated Account Management Team, with a single point of contact, deals directly with you to ensure that candidates we submit have the experience, credentials and talent to perform at the highest level and are also matched to your business climate and goals.

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Marathon text bib recognition

Marathon text bib recognition

We implemented an automatic system for Marathon Text Bib Recognition (MTBR) in natural image collections covering running races. It is typically a piece of durable paper or cardboard bearing a number as well as the event/sponsor logo. The MTBR, usually pinned onto the competitor’s shirt, is used to identify the competitor among many others during the race. Today, MTBR identification is often done manually, a process made difficult by the sheer number of available photos. This specific application can be studied in the wider context of detecting and recognizing text in natural images of unstructured scenes. Existing methods that fall into this category fail to reliably recognize MTBR, due to the large variability in their appearance, size, and the deformations they undergo. By using the knowledge that the MTBR is located on a person’s body, our dedicated system overcomes these challenges and can be applied without any adjustments to images of various running races taken by professional as well as amateur. Our system receives a set of natural images taken in running sports events. We use Artificial Intelligence trained models to identify the BIB location and scale. This is then processed and fed to a standard optical character recognition (OCR) engine to recognize the text out of the object. We evaluated the contributions of each component of our system.