Technology is expanding and computers and software are playing a big role in our current life. Devices are becoming smarter using AI (Artificial intelligence) and latest development in software technology like machine learning and neural networking can make amazing results which lets a computer think like a human brain.
Recently, MAYA has started some projects to involve this smart technology into embroidery field. MAYA has taken the first step to achieve this target by starting a project called iBox (intelligent Box) which can convert an image into embroidery design using AI. iBox can optimize stitch connections almost like an expert designer. The converted design has as less trim as possible and the machine can run the design very smoothly. As we all know, many companies have worked on image into embroidery conversion, but since the quality is the main issue in this field, their conversion result has not been practically workable and it has not satisfied the designers, that is why designers prefer to digitize the design by themselves to create a high quality product, but this is also a very time consuming procedure.
Since the start of iBox project, the quality has been the main concern of MAYA software team. And in Cisma 2019, MAYA introduced the first high quality image into embroidery design conversion device to the world.
iBox contains the hardware and software together as one package, and you will just need a screen or you can even connect it to your TV at home and connect a mouse and enjoy using your creativity to make embroidery designs in few minutes.
iBox is the new generation of digitizing software and users do not need to know so many complicated functions and how to digitize a design and connect the objects, because iBox already knows how to do the job for you. iBox can now convert a design using Satin and Tatami, but MAYA plans to develop this technology and let all range of users be able to use iBox in their business.
“The technology behind this software is the Artificial Intelligence, which is totally a new approach in this field. Though there are a few software brands doing photo to embroidery but results were not practical and good enough to make a designer really happy. Wherein, in this software the result is totally practical offering very good and acceptable quality. For normal embroidery quality is the biggest issue which could be solved with this new software, which is revolutionary. When using software, a designer will take half an hour to make design which earlier used to take 10 hr to complete. We introduced this to the industry for the first time in CISMA and response has been really encouraging,” says Saeed Shekari, Software R&D Director, Maya Embroidery Machine.
iBox has four main below functions:
• Image into embroidery design (no limits in colours)
This is the most time-consuming task if a designer wants to digitize it by current digitizing softwares at the market, but using iBox it is a few minutes task with good quality. The image quality affects the result, so the image should have an acceptable quality. But for other conversions, you can use any photos. The built in editor lets the user edit the photo and special functions designed for layering the image and making the sections overlaps to compensate fabric shifting and thread pull compensation.
• Photo into single coloured designs in three styles (one colour now)
• Photo into cross stitch design (no limits in colours)
• Photo into sequin design (up to 8 colors) as well as flipping sequins
Established in the year 2000 in Zhuji City, Zhejiang Province, China, Zhuji MAYA Electric Appliance Machinery Co., Ltd. is an enterprise specialized in producing computerised multi-head embroidery machines with annual output of more than 4,000 sets high quality machines. Having advanced equipment for manufacturing and inspection as well as excellent work teams, the company commits itself to implementing the total quality control system, introducing new concept of international standard management, and continuously improving the quality of its products.