AIV100 ------ Intelligent Surveillance and Security Solutions GitHub Link Youtube Link
CAMSVR1 ------ AI Integrated IP camera
CAMSVR2 ------ AI Integrated Mobile camera
Cloud Enabled Software Management Solutions------AWS ready cloud based solution for AIV100 and CAMSVR deployment
AGV2000 ------ Autonomous Self Driving Indoor Robot for Warehouse Application
AGV4000 ------ Autonomous Self Driving Indoor Robot for Warehouse Applications
CTI One Corporation, a Silicon Valley based high tech company, is established in Santa Clara, California, United States of America, the company specializes in Computer Vision, Artificial Intelligence, Internet of Things, and Robotics. The company's leading AI and Computer Vision products and solutions leads to its broad customer and client base including Fortune 500 Companies, start-ups, and small, medium size companies as well.
The Company is a winner of the 9th SVIEF (Silicon Valley Innovation and Entrepreneurship Annual Convention) in Santa Clara, California, USA, and its product and technology have been the core solutions for industrial IoT (Internet of Things), smart cities, robotics, automation, and security surveillance.
From May to December
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Customer Design Solutions
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Face Recognition Based Attendance Management
1.1. Employee attendance based on facial detection
1.2. Contractor attendance based on facial detection
1.3. Workers attendance based on facial detection
1.4. Customers service attendance, check in based on facial detection
1.5. Visitors facial registration;
1.6. Visitors gender detection, and age detection
1.7. Access control with snap shot of face photos and to establish face ID database with facial detection and tagging.
1.8. Alarm and messaging for matching up blacklisted persons based on facial detection
Displacement instrusion detection, theft prevention
3.1. Object displacement detection and classification for warehouse, offices, court yard, parking space;
3.3. Receptionist area object displacement detection and warning;
3.4. Intrusion detection for theft prevention;
Cellphone use and sleeping detection
4.1. Employee absence detection for either standing post or sitting post;
4.2. Cellphone use detection and alarm;
4.3. Sleeping detection;
High risk behavior detection, trash detection
6.1. Noncompliance detection, including not standing up detection;
6.2. Detection of high risk behavior, including holding a knife, stick, etc;
6.3. Trash detection, send message to staff for action, set automated alarm when trash detected.
Access control and movement tracking
2.1. First time visitor facial photo capture and tagging, facial detection and gender detection;
2.2. Entry and departure recording based on facial detection;
2.3. Statistical data for any and all of the feature detection functions based on facial ID;
2.5. People movement counting, their numbers, locations, time;
2.6. Counting number of visitors, groups, and time, location
Employee Attendance management
5.1. Employee absence detection in front desk at customer service center.
7.1. Flame detection, once detected then will set an alarm, send message, record snapshot and short video
1. The appearance of the system is basically the same as that of the CAMSVR-2, and the main differences are computational power and AI features;
2. The computational power is 496 TFLOPS;
3. AI Features: Illegal Intrusion Detection; Garbage Detection; Obstruction Detection; Highway Illegal Parking Monitoring; Highway Illegal Pedestrian Crossing; Highway Vehicle Malfunction and Parking Monitoring;
4. Support RTSP video stream function
1. The appearance of the system is basically the same as that of CAMSVR-1, and the main differences are computational power and AI features;
2. The computing power is not as good as CAMSVR-1, and the price is lower than CAMSVR-1;
3. AI Features: Illegal Intrusion Detection; Garbage Detection or Obstruction Detection
Autonomous Robotics with Computer Vision, Deep Learning Capability
Point-Net CNN Self Driving
(1) Indoor and outdoor operations;
(2) Load capacity: AGV2000 is 500 lbs, AGV4000 is 1000 lbs
(3) Navigation: LIDAR and Vision, with optional Laser/Ultra Sound/Magnetic Guide
(4) Control: 3D Environment Perception and Recognition
Computer Vision/Deep Reinforcement Learning
Reinforcement Learning Convolutional
Neural Network architecture to
accomplish complex processing tasks, seamlessly integrates sensor fusion data
including video, LIDAR, Ultrasound etc. to form semantic feedback
loop control for autonomous robot operations.
AGV4000, AGV2000 & FLK4000 AI Project PID Controller
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