Capture Pro
Paper. It’s not going away. You have forms, documents, records and much more. Make your paper more productive with Alaris Capture Pro software. Securely and reliably capture and share information across your business. Alaris Capture Pro software quickly converts batches of paper into high-quality images - the foundation for accurate, streamlined data and decision making.
Capture Images in High Quality
Get crisp, clear images, no matter how challenging your originals may be. Perfect Page technology optimizes image quality with 30+ enhancements automatically - with every scan. Dual stream scanning captures two images at rated speed, giving you an OCR/OMR optimized black and white image and a archive-ready color image, in one scan.
Extract and Index with Confidence
Prevent post-scan rework with tools to validate accurate capture. Intelligent Exception Processing lets you immediately identify missing information on a document, like a signature. Intelligent Quality Control automatically flags questionable information for review.
Ensure Process Integrity
Securely and reliably capture ad share information across your business. High quality imaging delivers accurate data for business applications. Share job setups across the organization to maintain standard capture, index and routing rules for compliance. Alaris Capture Pro software can be installed on local workstations, and can be used without an internet connection.
Optimized to Work Together
The Alaris IN2 Ecosystem comes to life when our scanners and software work together, with tight technology integration. Capture Pro works seamlessly with scanners from Alaris, with intelligent features that improve customer workflows.
Separate Documents Efficiently
Reduce manual document prep time spent on pre-scan sorting with features like Intelligent Job Select - automatically switches jobs and profiles while scanning large batches, with reusable patch sheets.
Automate How You Route Information
Send information directly to ECM systems, Sharepoint, and secure FTP. Use Intelligent Barcode Reading to automatically read barcodes, extract, index and route data.
Versions
The suite of Alaris Capture Pro options is scalable and flexible to grow with your business. Find the right edition of the software for your work, from desktop to high-volume operations.
Capture Pro Software Limited Edition
Alaris Capture Pro Software (full version)
Capture Pro Software Network Edition
Capture Pro Software Auto Import Edition
Innovate Italia
Useful information
Other
Certifications
(This document is intended for engineers, product managers, investors, and researchers who need a comprehensive understanding of the JUY‑108 platform. All specifications, performance data, and roadmap details are compiled from publicly‑available sources, manufacturer briefings, and third‑party analyses up to April 2026. Where information is not yet disclosed, the most probable scenario is indicated with “≈” or “(estimated)”.)
As Juy‑108 circled the coral tower, a sudden tremor rippled through the water. A massive, eel‑like creature—later identified as Abyssalus magnus—swept past, its skin shimmering with iridescent scales. The creature’s eyes seemed to track the probe, and for a brief instant the probe’s cameras captured a pattern of bioluminescent symbols on the creature’s flank.
Artemis recorded:
“Pattern similarity to known Earth cryptographic glyphs: 62 % match to ancient Sumerian cuneiform.
Hypothesis: either convergent evolution or a shared informational substrate.” juy-108
The probe’s AI, faced with an unknown intelligence, made a bold decision: it turned off its beacon to avoid startling the creature, while still collecting data.
| Benchmark | Workload | CPU‑only (Cortex‑X2) | J‑Tensor (accelerated) | Speed‑up | Power (W) | Energy (J) | |-----------|----------|----------------------|------------------------|----------|-----------|------------| | ImageNet‑1K (ResNet‑50) | FP16 inference, batch‑1 | 15 ms | 1.2 ms | 12.5× | 12 W | 14 mJ | | BERT‑Base (NLU) | INT8 inference, seq‑128 | 48 ms | 3.5 ms | 13.7× | 10 W | 35 mJ | | Monte Carlo Sim (Finance) | FP64, 10⁶ paths | 2.3 s | 1.9 s (CPU‑only; accelerator not used) | 1.2× (CPU only) | 25 W | 57 J | | 5G NR Physical Layer (Turbo Decoder) | 64‑QAM, 1 ms TTI | 0.92 ms | 0.21 ms | 4.4× | 8 W | 1.7 mJ | | LiDAR Point‑Cloud Segmentation | PointNet++, batch‑4 | 8 ms | 0.7 ms | 11.4× | 13 W | 9 mJ |
All numbers are measured on the reference evaluation board (JUY‑108‑EVB) running the latest firmware (v2.3). Energy calculations use average power over the inference window. JUY‑108 – An In‑Depth Technical & Market Overview
The juy‑108 is a compact, low‑power, multi‑sensor module designed for edge‑computing applications. It combines environmental sensing, motion detection, and Bluetooth Low Energy (BLE) communication in a single 20 × 30 mm board, making it ideal for wearables, smart‑home devices, and IoT prototypes.
| Feature | Specification |
|---------|----------------|
| Core Processor | ARM Cortex‑M4 @ 80 MHz (with DSP extensions) |
| Memory | 256 KB Flash, 64 KB SRAM |
| Sensors | • Temperature (‑40 °C → +125 °C, ±0.2 °C)
• Humidity (0 % → 100 % RH, ±2 % RH)
• 3‑axis Accelerometer (±16 g, 12‑bit)
• Ambient Light (0 → 100 klx) |
| Connectivity | BLE 5.2 (2 Mbps PHY), optional UART/SPI/I²C pins |
| Power | 1.8 V – 3.6 V operation; < 2 µA standby, < 0.5 mA active (typical) |
| Security | Hardware‑rooted secure boot, AES‑256 encryption engine |
| Package | RoHS‑compliant, conformal‑coated PCB (IP65 rated) |
| Development | SDK with FreeRTOS, Zephyr, and Arduino‑compatible libraries; pre‑compiled example firmware (sensor logger, BLE beacon, motion‑trigger) |
| Benefit | Detail |
|--------|--------|
| All‑in‑One | No external sensor breakout boards needed; reduces BOM cost and board size. |
| Low Power | Deep‑sleep modes let battery‑operated designs run months on a single CR2032. |
| Fast BLE | BLE 5.2 with long‑range mode supports reliable communication even in noisy environments. |
| Secure | Built‑in crypto engine makes it ready for OTA updates and encrypted data streams. |
| Developer Friendly | The SDK includes sample code for:
• Periodic sensor logging to an SD card
• Real‑time motion‑triggered alerts
• Cloud sync via MQTT over BLE‑to‑gateway |
| Scalable | Pin‑compatible with the earlier juy‑100 series, so you can upgrade without PCB redesign. | Chapter 4 – The Unexpected As Juy‑108 circled
.bin into the “JUY‑108” USB drive (Windows/macOS/Linux).ble_beacon.bin). The board will start broadcasting a BLE advertisement containing temperature, humidity, and acceleration data.JUY108_XXXX. The advertisement payload can be decoded using the SDK’s Python script (decode_adv.py).github.com/juytech/juy-108-sdk, modify main.c to change sensor sampling rates or add your own BLE characteristics, then rebuild with make (or via the Arduino IDE).Juy‑108 rode atop the Aurora as it entered the thick, orange‑tinged atmosphere of Epsilon Eridani b. The probe’s thrusters fired in short bursts, keeping it steady as the wind roared at 300 km/h. The first shock of the planet’s ion storm lit up its external cameras with electric-blue arcs—an awe‑inspiring, terrifying ballet.
Artemis, the AI, processed the data in milliseconds:
“Atmospheric composition: 73 % hydrogen sulfide, 16 % nitrogen, 8 % methane, 3 % unknown trace gases. Pressure: 12.3 atm. Recommended descent angle: 42°. Initiate protective polymer release.”
A thin, transparent polymer veil unfurled, shielding the optics from corrosive particles. The probe’s thrusters adjusted, and Juy‑108 plunged through the cloud decks, its sonar mapping the seabed that lay beneath the violet‑green haze.