Paytools vs Robot Eyes

Paytools is an offline payment-engineering workbench for developers, QA engineers, integrators, students, and fintech teams. Decode and inspect common payment-message structures, explore field definitions, convert technical data, and keep essential payment references close at hand. Processing happens locally on your device, so pasted messages and imported files are not uploaded to a server. PAYMENT TOOLS • Inspect ISO 8583 MTIs, bitmaps, and present data elements • Decode and build primary and secondary bitmaps • Parse BER-TLV data and identify common EMV tags • Recognize SWIFT MT blocks and ISO 20022 XML messages • Convert between HEX, ASCII, decimal, binary, and packed BCD • Validate synthetic card numbers with the Luhn algorithm • Compose synthetic Track 2 and ISO-0 PIN-block test data • Use development utilities for XOR and DES odd parity KNOWLEDGE LIBRARY • Search all 128 ISO 8583 data elements • Learn ISO 8583:1987, 1993, and 2003 MTI concepts • Follow authorization from merchant to acquirer, scheme, and issuer • Understand STIP, advice, reversal, clearing, and settlement flows • Review ISO 20022 message families and validation concepts • Study EMV transaction and cryptogram terminology CODES AND FIELDS Search operational response-code references for common ISO profiles, Visa, Mastercard, UnionPay/UPI, 3-D Secure, and gateway HTTP outcomes. Open any ISO field for its purpose, format, and implementation notes, including an expanded guide to DE22 POS Entry Mode. PRIVATE BY DESIGN Paytools has no account requirement and no cloud processing. Use synthetic or appropriately masked test data. Production payment formats and code meanings can vary by network, region, product, and specification release. Paytools is an independent educational and development utility. It is not affiliated with or endorsed by any payment network. Formal certification and production processing require the current authorized specifications, test packs, approved cryptographic systems, and applicable security controls.

Give any robot eyes with the iPhone you already have. Robot Eyes turns an iPhone Pro into a robot's camera and a dataset recorder at the same time, from one camera session, so the live stream and the saved recording share one clock and one frame counter. RECORD • Color video (HEVC), LiDAR depth and confidence maps, accelerometer and gyroscope, and the camera's position and orientation from ARKit, with per-frame camera intrinsics. • The open Stray Scanner dataset layout, readable by existing tools, plus a session.json that summarizes rates, thermal state, battery and completeness. • Crash-safe fragmented video, a clear Complete / Incomplete state for every session, Keep pins, bulk Select ▸ Delete, and Share with real progress and a Cancel that works. STREAM • Live camera over the USB cable in the Mobcam wire format (the one Moblin uses), with configurable stream size and rate. Thermal state is reported; it does not automatically change capture or stream settings. • A once-a-second status message: frame rates, thermal, battery, free storage, camera tilt, and optionally the camera's position, heading and speed at 5 to 15 Hz. • A small HTTP file server for the measurement files, so a computer can grade a run seconds after it ends. • Your computer may start and stop recordings, if you allow it. • A ROS 2 camera adapter (Humble and Jazzy) publishes Image and CameraInfo, with checkerboard calibration support. • Wi-Fi is off by default. Turn it on and receivers must present the access token shown in Settings. MADE FOR THE BENCH • Every screen carries a one-word label, so "be on the Record view" is a checkable instruction. • A heads-up display in words, not icons: what the stream is doing, what the disk is doing, what to do next. • Presets for a general recorder and for the Robo Bump Truck, the RC truck this app was built to drive. PRIVACY • No account, no analytics and no ads. Nothing leaves the phone unless you connect a receiver or tap Share. Support: rooneytech.pages.dev/robot-eyes REQUIRES • An iPhone with a LiDAR scanner (iPhone 12 Pro and later Pro models) and iOS 18.6 or newer. Robot Eyes is built on the open-source Stray Scanner recorder (MIT). ROS adapter and interface: github.com/12mv2/robo-bump-truck-ros