Job Description
- • Image Recognition and Processing
- • �� Research and develop object recognition algorithms based on computer vision, ensuring high-precision identification and
- • real-time processing capabilities.
- • �� Handle complex scenarios such as varying lighting conditions, angles, and occlusions to optimize recognition stability.
- • Deep Learning Model Training and Optimization
- • �� Design, train, and optimize deep learning models to improve recognition accuracy.
- • �� Utilize large-scale datasets for annotation, data augmentation, transfer learning, and model compression.
- • �� Model compression is a technique that condenses knowledge from multiple models into a single neural network. This
- • involves first training a high-performance ensemble model, then training a smaller model on pseudo-data labeled by the
- • ensemble.
- • Object Detection and Tracking
- • �� Implement precise detection and tracking using object detection algorithms such as YOLO, Faster R-CNN, and DETR.
- • �� Integrate Multi-Object Tracking (MOT) algorithms to ensure accurate tracking of object movement and changes.
- • Real Time Image Processing and Optimization
- • �� Use tools such as OpenCV, CUDA, and TensorRT to optimize image processing speed, achieving low latency and high
- • frame rate recognition.
- • �� Research edge computing and model lightweighting techniques (e.g., quantization, pruning) to enhance efficiency on
- • embedded or mobile devices.
- • Software Integration and System Development
- • �� Participate in software architecture design and integrate vision algorithms into casino management systems or intelligent
- • analysis platforms.
- • �� Collaborate with the hardware team to optimize camera acquisition solutions and improve image quality.
- • Anomaly Detection and Anti-Cheating Measures
- • �� Develop image anomaly detection algorithms to prevent cheating methods, such as invisible ink markings and mirror
- • reflection tricks.
- • �� Combine behavior recognition technologies to detect abnormal patterns and support
- • security management.
Requirements & Qualifications
- • Computer Vision and Deep Learning Fundamentals
- • �� Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Pattern Recognition, Automation, or related fields
- • (Master’s degree preferred).
- • �� Proficiency in image processing, object detection, and OCR (Optical Character Recognition) technologies
- • Algorithm Development Skills
- • �� Expertise in OpenCV, TensorFlow, PyTorch, and other deep learning frameworks.
- • �� Strong understanding of state-of-the-art vision algorithms, including CNN, Transformer, YOLO, and Swin Transformer.
Salary & Compensation
Annual Salary: $under 25000
Contact Information
About Loma Technology
Loma Technology is a multifaceted enterprise with interests in real estate, tourism, entertainment, and IT services. We are committed to excellence in every industry we engage in, making us a leading technology company in Cambodia.
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