Revolutionary AI-powered Smart Agriculture In Oil Palm Management
The application of smart agriculture in oil palm plantation management has been a long-term strive for environmental protection. The…
A.I. Burial Grounds Detection System
Have you ever spotted odd gravestones along the trail while hiking? In Chinese culture, people believe that feng shui…
AI-Based Intelligent Crowd Counting Solution
As population control in public areas has become more than necessary worldwide due tothe COVID-19 pandemic, crowd counting results…
An Intelligent Tower Crane Camera Solution
Regular and accurate site surveys are crucial to control the quality and monitor the progress of the construction site. Tower crane camera solution is an excellent solution that helps control the quality and monitor the progress of the construction site.
Smart Gate Control for Managing Material Logistics
Make use of computer vision and machine learning technologies, an algorithm is developed to detect and classify the type of vehicles entering the construction zone, realize the automatic material delivery management for construction sites.
AI-Based Construction Site Safety Issues Detection
Anavision developed an AI-Based Construction Site Safety Issues Detection System. With the help of AI, the safety of construction sites can be easily monitored.
Improve Water Quality By Monitoring Algae Level
Anavision has recently developed an AI-based algae detection, identification, and counting model that can upgrade the current manual workflow of algae cell identification and counting operations, thereby enabling a more efficient algae level monitoring.
Privacy Protection by Identifying Sensitive Objects via Deep Learning
Anavision has developed the detection and blurring function for sensitive information in an image or video for the privacy protection of general public.
Vehicle Object Detection for Traffic Management
Anavision recently developed a real-time vehicle object detection algorithm, an intelligent solution for monitoring traffic flow using AI.
Cassava Yield Prediction Using Aerial images
As an emerging technology, unmanned aerial vehicles (UAV) and remote sensing are expected to be useful for cassava yield prediction.