AI towel feeding: BLIZZ vs Robofeed RFT vs sewts.VELUM

Choose the handling system before the folding promise

Industrial towel finishing still depends on separating flexible textiles, finding a useful grip, and presenting each item to a folder. Inwatec BLIZZ, Kannegiesser Robofeed RFT, and sewts.VELUM apply intelligent vision and robotics to that handling step. This comparison concerns clean-side towel feeding, rather than inspecting fabric during manufacturing or identifying hazards in dirty garments. Each robot must be understood with its folder, accepted textile mix, and installed layout.

Inwatec BLIZZ

Inwatec BLIZZ automatically separates towels, recognizes their type, and presents them to a towel folder. JENSEN’s current description explains corner and side-edge detection, centering, and alignment, while its company account of the Rentx installation describes AI identification and sorting of towel types. That is a practical combination for hospitality and healthcare laundries processing mixed towel batches. Internal buffering is another highlighted feature, helping maintain the flow between recognizing an item and feeding it onward. BLIZZ works with JENSEN’s Butterfly towel-finishing approach; the current Butterfly Classic presentation explicitly describes robotic feeding as an alternative to manual operation. The distinction between machines matters: BLIZZ performs separation and feeding, while the folder performs folding and subsequent finishing functions. It suits a laundry evaluating JENSEN-compatible automation for a repetitive clean-side task, with the exact towel range and line configuration defined in the project.

Kannegiesser Robofeed RFT

Kannegiesser Robofeed RFT is the feeding robot in the manufacturer’s robotic dry-work line. The current line centers on the RFT 20 and Speedline XFM-SR terry-towel folder. Kannegiesser describes camera and machine-learning functions for its RFT system, linking textile recognition to robotic handling. The integrated line can receive dry work through manual or fully automated supply, making it relevant when a laundry is redesigning the flow into finishing rather than adding a stand-alone recognition tool. Optional color recognition addresses a varied article mix. Quantex DryWork supplies detection and separation of items with holes, stains, and similar defects, but that quality-inspection scope should not be assumed to be part of every feeding robot. Robofeed is therefore best understood as one element of a configured Kannegiesser line. Its appeal is the planned relationship between supply, feeding, inspection options, and the Speedline folder.

sewts.VELUM

sewts.VELUM uses the company’s physical AI to analyze flexible textiles and translate those observations into robotic commands. It feeds towels and other terrycloth into folding machines, addressing the difficulty of choosing a grip and presenting an unfolded piece consistently. sewts emphasizes a compact, modular cell and adaptability to differences in textile color, size, and texture. The current product page lists a 30 by 30 centimeter minimum, a 100 by 200 centimeter maximum, and a maximum weight of three kilograms. It also lists 700 textiles per hour, which is a vendor specification rather than an AIPicksy measured result. VELUM is particularly interesting to a laundry exploring the handling cell as a distinct automation purchase. The existing folder interface, physical placement, and specific article mix still determine the installed fit. A published capability range does not establish the throughput of every production batch.

Compare recognition with finishing integration

BLIZZ’s product story connects towel identification, mixed-batch buffering, and feeding into JENSEN finishing. Robofeed RFT is presented through its integrated relationship with Speedline, with color and Quantex options described separately. VELUM foregrounds the AI handling cell and its modular physical footprint. A laundry already using compatible JENSEN equipment may find BLIZZ the natural conversation; one planning a Kannegiesser dry-work line may value the RFT/Speedline combination. VELUM offers another route when the feeding cell itself is the purchasing focus. The relevant comparison is how each system joins the available laundry flow, not whether the vendor also sells unrelated laundry machinery.

Compare textile range and operating claims

VELUM publishes a clear size and weight envelope on its current product page. BLIZZ’s current presentation emphasizes automatic alignment, a mixed towel flow, and healthcare/hospitality use. Robofeed’s current line description emphasizes supply options and its paired folder. Those differences in documentation do not establish that one handles every article another cannot. Dimensions, shape, fabric behavior, batch composition, and downstream folder settings all affect the configured system. Likewise, BLIZZ’s buffering and VELUM’s hourly specification describe different things. They should not be combined into an invented speed ranking or a claim about how many employees a particular laundry will save.

Compare the installed purchase

No verified numeric delivered-system price was established for these three configurations. BLIZZ and Robofeed require the robot, folder relationship, supply equipment, and selected inspection options to be scoped. sewts describes hardware investment and software-license costs but does not publish numeric terms or a verified billing interval. Financing, installation, software rights, and service may therefore change the commercial comparison. A vendor’s payback estimate is not a measured return for the reader’s laundry. JENSEN and Inwatec represent the same BLIZZ offering here, so they are not counted as two independent products to enlarge the shortlist.

Which should you choose?

Consider BLIZZ for JENSEN-compatible mixed-towel automation, Robofeed RFT for an integrated Speedline dry-work line, and VELUM for a modular AI feeding cell. Start with the towels and folder that must work together, then compare the complete installed offer.