Automating the World’s Visual Processes
Automating the World’s Visual Processes. Computer Vision solutions bring unprecedented levels of automation, precision, and security to your operations by enabling machines to "see" and interpret images and video. We leverage state-of-the-art models like YOLO and FaceNet to create real-time object detection, facial recognition, and optical character recognition (OCR) systems that enhance security, streamline logistics, and revolutionize educational technology.
video analytics.
for custom object detection.
Hear from Our Projects
Computer Vision Case Studies
Attendance System (Manufacturing / HR)
Challenge: A Major Textile Manufacturer’s traditional attendance methods were slow, prone to “buddy punching” fraud, and created significant administrative overhead for payroll verification.
Solution: The system uses FaceNet to process live CCTV streams, converting detected faces into vector embeddings for real-time comparison against the employee database. A confident match automatically marks attendance in the database.
Key Impact Metrics
100%
99.5%
40%
Starchase – License Plate Detection (Security / Transportation)
Challenge: A National Security Provider required a fast, highly accurate, and scalable system to detect and recognize vehicle license plates in real-time from live RTSP camera feeds.
Solution: A two-stage process running on dedicated AWS EC2 instances: YOLOv5 isolates the license plate region, and then PaddleOCR performs the robust character recognition. Results are transmitted instantly via WebSocket.
Key Impact Metrics
<500ms
98.5%
30+
Video IDE for Scratch (Educational Technology)
Challenge: An EdTech Platform found a gap where users watching video coding tutorials could not easily inspect, pause, or modify the code state at specific video moments, hindering hands-on learning.
Solution: The system employs YOLOv8 to visually detect every Scratch block in the video frames. Pausing the video instantly converts the detected visual blocks into a structured, living, editable project in a live editor (Sprays).
Key Impact Metrics
40%
Increase in active coding time75%
Faster project inspection10,000+
Interactive educational videosRelated Computer Vision Expertise
Real-Time Stream Processing
Expertise in handling high-volume, low-latency video streams (RTSP, WebSocket) for mission-critical applications in security and logistics.
Object Detection & OCR Integration
Seamless integration of leading models like YOLO for localization and PaddleOCR for text reading to create robust Automatic License Plate Recognition (ALPR) and document processing tools.
Domain-Specific Model Training
Custom training and fine-tuning of base models on proprietary datasets to achieve superior accuracy for unique environments and visual assets.
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