What is Computer Vision?
Computer vision is a field of artificial intelligence that enables computers to "see" and understand visual content — images, video, and camera feeds in real-time. This technology enables automation of tasks that previously required human observation, from quality inspection in factories to vehicle detection on highways.
PT Graha Teknologi Maju is one of the pioneers in computer vision implementation in Indonesia, with experience building object detection systems, face recognition, and visual analytics for enterprise and government clients. We combine deep learning expertise with understanding of local industry needs to deliver accurate and reliable solutions.
Why Does Your Organization Need Computer Vision?
Computer vision technology opens efficiency and security opportunities that are impossible to achieve with manual monitoring:
- 24/7 monitoring without fatigue. Computer vision systems never get tired, never lose focus, and can monitor hundreds of points simultaneously. This is ideal for security surveillance, traffic, and quality control.
- Real-time detection speed. Our systems can process and analyze video in milliseconds, enabling instant response to critical events.
- Consistent accuracy. Unlike manual inspection affected by fatigue and subjectivity, computer vision models deliver consistent and measurable results.
- Cost scalability. Once the system is built, adding monitoring points only requires adding cameras, not new personnel.
Our Computer Vision Services
We build various computer vision solutions tailored to industry needs:
- Real-time Object Detection — Object recognition and tracking systems in video streams, including vehicle, person, and hazardous object detection. Our models are optimized to run at 30+ FPS on standard hardware.
- Face Recognition — Face recognition systems with 99%+ accuracy for attendance, access control, and identification. Supports large-scale face databases with matching times under 100ms.
- Visual Quality Control — Automated quality inspection on production lines using AI to detect defects, inconsistencies, and visual anomalies. Replacing inconsistent and slow manual inspection.
- CCTV Analytics — Intelligent analysis from existing CCTV feeds: people counting, area heatmaps, event detection (fights, crowds, suspicious objects), and behavior analysis.
- Traffic Monitoring — AI-powered traffic monitoring systems for vehicle detection and classification, violation detection, congestion analysis, and real-time traffic flow measurement.
- OCR & Document Processing — Text extraction from images and documents, including ID cards, license plates, forms, and printed documents. Our OCR achieves 95%+ accuracy for Indonesian language documents.
Technology We Use
We use cutting-edge computer vision technology selected based on each project's specific needs:
- Deep Learning Frameworks — PyTorch and TensorFlow for model development and training. ONNX Runtime for cross-platform deployment.
- Model Architectures — YOLO (You Only Look Once) for real-time object detection, ResNet and EfficientNet for classification, and U-Net for segmentation.
- Edge Computing — NVIDIA Jetson, Intel OpenVINO, and TensorRT for running models on edge devices with low latency and without internet connectivity.
- Video Processing — OpenCV and GStreamer for high-speed video stream processing from various camera sources.
- Hardware Requirements — GPU servers (NVIDIA T4/A10) for centralized deployment, or edge devices (Jetson Nano/Xavier) for distributed deployment. We help determine the optimal configuration based on camera count and model complexity.
Featured Projects
Our computer vision experience includes large-scale projects:
- AIGLE (Traffic Detection, East Java): An AI-based traffic detection system developed for the East Java Provincial Government. The system can detect and classify vehicle types in real-time from CCTV feeds, providing accurate traffic data for infrastructure decision-making.
- HR Face Recognition: A facial recognition attendance system with 99%+ accuracy used for employee attendance management. The system supports recognition across various lighting conditions and face angles.
- Unilever PQS (Product Quality System): A visual quality inspection system for Unilever's production line in Indonesia. The computer vision model automatically detects product defects, improving quality control consistency.
A Major Opportunity in Indonesia
Almost no AI company in Indonesia has a dedicated page and deep portfolio in computer vision. While demand continues to grow — from smart cities, manufacturing 4.0, to public safety — local solution providers are still very limited. PT Graha Teknologi Maju is here to fill this gap with real experience and cutting-edge technology.
Computer Vision Applications in Indonesia
Indonesia has unique needs that make computer vision highly relevant:
- Smart City — Traffic density monitoring, illegal parking detection, and public area surveillance to support smart city programs in Jakarta, Surabaya, and other major cities.
- Manufacturing 4.0 — Automated quality inspection replacing inconsistent manual visual inspection, especially for food, pharmaceutical, and electronics industries.
- Public Safety — Intelligent surveillance systems for airports, stations, and public areas capable of detecting suspicious events in real-time.
- Precision Agriculture — Pest detection, plant disease identification, and growth monitoring using drones and automated cameras.
- Infrastructure — Bridge, road, and building inspection using drones with AI to detect cracks, corrosion, and structural damage.
Ready to Implement Computer Vision?
Discuss your visual analytics needs with our team. Whether for security monitoring, quality control, or traffic management — we're ready to build the right solution.
