PROX-EYE by CORRECT-AI
PROX-EYE by Correct-AI serves equipment owners and operators of application-specific vehicles, dramatically lowering the risks of operating heavy equipment on industrial environments.
The PROX-EYE system combines HD cameras and LiDAR sensors with Artificial Intelligence (AI) software to create a cost effective proximity awareness system that revolutionises the way that industrial equipment manages collision warnings and terrain hazards on challenging worksites.
PROX-EYE VISION GUIDANCE SYSTEM
Enhancing Operator Capacity
This unique combination of camera, LiDAR and AI provides equipment operates with intelligent warnings of potential interaction with humans or machines, or imminent roll-overs in any environmental condition such as complete darkness, fog, dust or direct sunlight. The system also records operational data for future evaluations and review.
- Recording of sensor data for post incident and efficiency analysis
The system documents all events that occur within close proximity of the equipment and compiles them into a report for analysis. These reports help to increase efficiency by identifying congestion points on worksites, as well as cataloguing near misses or inefficiencies in equipment operation.
Accident-Free Industrial Worksites
The PROX-EYE system increases workplace safety by contributing to an accident-free industrial worksite, leading to gains in efficiency and productivity through enhanced operator capacity.
- Continuous monitoring of grade changes
ROLL AND PITCH ANGLE
- Continuous reporting of roll and pitch angles to prevent rollovers
The PROX-EYE system is the most precise object detection technology available. No other system offers the combination of camera, LiDAR and AI that form part of this reliable solution, making it the most advanced system on the market.
The PROX-EYE proximity awareness systems brings to the market unprecedented improvements in safety, quality and productivity.
SNS SiTRACK – AVOID WHAT YOU CAN’T SEE
A dynamic, real-time collision detection system that enhances the safety of stockpile operations. Avoid costly damage to infrastructure, reduce downtime and effectively manage stockpiled material. Employing smart & dynamic geo-reference boundaries surrounding both mobile plant, fixed infrastructure or hazardous areas, collisions are avoided.
- USE ON ANY MACHINE TYPE
SNS SiTRACK is an advanced collision detection system that can be used on any vehicle such as dozers, conveyers, stackers and reclaimers – anything that is used for stockpile management.
- FLEXIBLE FILE TYPE
A streamlined workflow allowing integration with over 40 file types, including ESRI Shape files and Digital Terrain Models draped with Raster images, which can be added to simulate current terrain conditions.
- RUGGED HARDWARE
Integrated software come pre-loaded on a Trimble 12.1″ rugged android tablet that provides 4 levels of collision detection. Combined with two advanced 220 channel Trimble GNSS receivers supporting multiple constellations including Beidou and QZSS for performance positioning around infrastructure. In addition the GNSS receivers also leverage Trimble Proprietary xFill RTK augmentation.
- MANNED, AUTONOMOUS, REMOTE CONTROL
Applications of SNS SiTRACK include manned, semi-autonomous, autonomous or remote control machines.
SNS SiTRACK detects collisions between dozers and:
- Other Dozer(s)
- Pylons and other infrastructure; and
- Coal Valves
It also warns of encroachment to hazardous areas like:
- Draw Points
SNS SiTRACK is fully compatible with any wireless system onsite, or SITECH Solutions can design and install a Rajant Wireless mesh system for the fastest data transfer rate available in the market. SNS SiTRACK can also operate in Cab without the need for a Wi-Fi system provided it can achieve high precision through a local GNSS correction signal.
Proximity and breach zones provide visual and audible alerts and warnings for an operator, or mechanical warnings and shut-offs for remote controlled or autonomous vehicles. SNS SiTRACK provides the highest level of safety to prevent harm to operators and damage to key assets. The system is designed around the concept that each and every asset can monitor its own proximity detection and warnings simultaneously with every other asset in the system. In practice this means that the operator can provide each asset with its own Geofence conditions and the system will monitor any intrusions into not only that assets boundaries but also and adjacent boundaries in near real time.