Robot Hazard Prevention Solution based on AI Smart Camera
In the era of Industry 4.0, the challenges of rising labor costs and increasing demand for flexible customization are pushing manufacturers to adopt robotics at a faster rate. According to the International Federation of Robotics (IFR), nearly 2,000,000 new industrial robots will be installed in factories around the world between 2020 and 2022. This means that production operators will be working with robots more frequently and closely.
Safety light curtains are a traditional robot hazard prevention solution. However, they occupy significant floor space and lack flexibility in how they can be implemented. IP surveillance brings installation flexibility, but brings the challenges of complex cabling and high quality network bandwidth requirements. As deep learning technology matures, machine vision-based solution providers have begun offering IP surveillance combined with AI NVR as a solution for preventing robot hazards on the production line. Industrial smart cameras along with mature AI algorithms are now feasible and have been deployed by first-tier EMS manufacturers in Taiwan to address these problems.
As deep learning technology matures, machine vision-based solution providers have begun offering IP surveillance combined with AI NVR as a solution for preventing robot hazards on the production line. IP surveillance brings installation flexibility, but brings the challenges of complex cabling and high quality network bandwidth requirements. Industrial smart cameras along with mature AI algorithms are now feasible and have been deployed by first-tier EMS manufacturers in Taiwan to address these problems.
Installation Flexibility
Requires physical pillars mounted on the floor.
Installation Flexibility
NEON AI smart cameras can be installed flexibly from the ceiling.
Floor SpaceUtilization
Physical fences occupy significant floor space, reducing production area.
Floor SpaceUtilization
Without a physical fence, only hazard zone indication markings on the floor are required, freeing more floor space for production.
AutonomousLogistics
Physical fences obstruct collaboration between robot arms and AMRs (Autonomous Mobile Robots).
AutonomousLogistics
Without physical boundaries, AMRs are able to freely deliver materials autonomously across the factory and warehouse.
Deployment Flexibility
Requires complex, long distance cabling to connect IP cameras, PoE switches, AI computers and robot arms.
Deployment Flexibility
Only requires a cable to connect NEON AI smart camera and robot arms.
TransmissionLatency
Image transmission from IP camera to AI computer relies on network bandwidth. Transmission latency may exceed
1 second, resulting in accidents in the hazard zone.
TransmissionLatency
Image analysis is completed immediately on NEON smart camera. Upon any intrusion into the robot hazard zone, the NEON AI smart camera will trigger a command to stop robot arms.
Total Cost ofOwnership
Requires high quality network and more maintenance effort.
Total Cost ofOwnership
Enables simple deployment, requires moderate network quality and allows for easy maintenance.
NEON integrates NVIDIA® Jetson™ AI vision processing cores, a wide range of image sensors, optimized OS, and rich I/O for vision applications in a palm-sized chassis to minimize cabling complexity and installation space requirements.
In addition to strict validation tests for EMC, ESD, shock, vibration and thermal dissipation, NEON also supports IP67 for harsh industrial environments.
NEON is pre-installed with optimized operating system, software, and Edge Vision Analytics (EVA) SDK. EVA SDK supports NVIDIA® TensorRT™ and Intel® OpenVINO™ AI inference engines, as well as field-ready application plugins for streamlining AI vision project development time.
ADLINK has verified the performance of all possible combinations of neural networks and AI accelerators. The performance benchmarks are available upon requests to optimize customers’ applications.
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NEON-2000-ONO 
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NEON-2000-JNO 
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NEON-2000-JT2-X 
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NEON-2000-JNX 
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| Computing Platform |
NVIDIA® Jetson™ Orin Nano™ | NVIDIA® Jetson™ Nano™ | NVIDIA® Jetson™ TX2 | NVIDIA® Jetson™ Xavier NX |
| Processor | 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU | Quad-core ARM Cortex-A57 MPCore processor | ARM® Cortex-A57 and NVIDIA Denver 2 |
6-core NVIDIA Carmel ARM® v8.2 64-bit CPU |
| GPU | NVIDIA Ampere™ architecture with 512 NVIDIA CUDA® cores and 16 Tensor cores | NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores | 256-core NVIDIA Pascal™ GPU | 384-core NVIDIA Volta™ GPU with 48 Tensor Cores |
| VPU | - | - | - | - |
| Memory / Storage |
4GB / 128G SSD | 4GB LPDDR4 / 16GB eMMC and pre-installed 32 GB microSD card |
8GB LPDDR4 / 32GB eMMC (integrated with TX2 module) |
8GB LPDDR4 / 16GB eMMC (integrated with NX module) |
| Image Sensor |
ON Semiconductor AR0134, 1.2M resolution, H1280 x V960, 54 FPS e2v EV76C570, 1.9M resolution, H1600 x V1200, 60 FPS ON Semiconductor MT9P031, 2M resolution, H1920 x V1080, 30 FPS ON Semiconductor MT9P031, 5M resolution, H2592 x V1944, 14 FPS |
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| Ingress Protection |
- | - | IP67 with M12 connector |
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| Dimension (H x W x D) |
123.3 x 77.5 x 66.81 mm | 123.3 x 77.5 x 66.81 mm | 137.7 x 79.5 x 122.85 mm | 123.3 x 77.5 x 66.81 mm |
