ARCAISYS Private Limited designs edge AI systems for visual inspection. Our core platform, SightQC (v1.3 Now Live), catches defect anomalies in real-time above conveyor belts, helping manufacturers reduce rework by 40% and protect supply contracts.
For years, automated quality inspection was locked behind capital expenditure barriers, requiring proprietary cameras and costly external consultants. ARCAISYS eliminates vendor lock-in. Our software container interfaces with standard digital cameras (Basler, Axis, Hikvision) and processes visual classifications locally under 100ms.
Subscribe to the active lines you need. Adjust your camera limits or add product categories à la carte with clear monthly rates.
Upload sample images of acceptable products and defects. Our pipeline performs augmentation and trains model weights in 2-4 hours.
Edge containers transmit digital GPIO triggers and MQTT events directly to PLC systems to reject flawed parts automatically.
Human quality inspectors miss between 15% to 30% of surface flaws due to shift transitions, fatigue, and changing industrial light.
Spent on rework overheads, scrap materials, and penalty fees requested by enterprise buyers during audit failures.
Deploy 24/7 continuous computer vision running at the edge. Connect standard digital cameras to identify flaws before they pack out.
Scratches, misalignments, color variance, missing components, and stitching deviations are flagged under 100ms at edge.
Connect your cameras. Run our container locally at your plant. Experience 99.2% inspection accuracy risk-free for 30 days.
Protect your supply contracts with enterprise buyers who audit and demand zero-defect batches.
Catch flaws at the line instantly. Re-route parts immediately rather than fixing them post-return.
SightQC doesn't get fatigued. It operates at 99.2% accuracy across night shifts and low light.
Low cost subscription + standard commodity hardware vs $50k+ proprietary vision hardware blocks.
SightQC integrates edge efficiency with cloud scale. Trained model inference is shipped down to local edge actuators for zero latency.
Position 2 to 4 standard industrial cameras (Basler, Hikvision, or Axis) above your moving conveyor systems.
Upload 50-100 sample images of acceptable products and defect anomalies. Training takes 2-4 hours on SageMaker.
Run local sub-100ms model loops on IoT Greengrass. Trigger pneumatic rejections instantly via digital GPIO gates.
Caption: Data flows securely via TLS 1.3 transit lines directly inside local ap-south-1 (Mumbai) VPC instances.
"Reduced defect rate from 8% to 1.2% in 60 days. Paid for itself in 4 months. The dashboard pinpointed our calibration errors instantly."
"Finally passed our enterprise buyer's quality audit after 3 failed attempts. Won a ₹2.3 Cr contract that saved our operational year."
"Rework costs dropped 47%. The defect analytics showed us our injection molding machine nozzle wear was the root cause."
"Building computer vision for the factory floor, not just the cloud."
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"Making enterprise-grade AI accessible to every manufacturer."
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