[ NODAR Solutions ]
Quickly Deploy Full Solutions with NODAR Core Software
We offer custom solutions built on top of our SDK and HDK, with deployments across Fortune 100 companies in mining, rail, tractors, aviation, maritime, and security.
Available Solutions
Whether you are unlocking new revenue by implementing feature-on-demand or deploying a safe automated product today, we have you covered!
Download product sheets for NODAR's other Solutions
Feature-on-Demand
Features on Demand (FOD) refers to technology allowing users to unlock, activate, or install software-based features after the initial purchase of a product, commonly used in automotive (upgrading navigation, ADAS) and software. It enables customization, offering, or purchasing capabilities, such as subscriptions or one-time payments. It creates new revenue lines for businesses.
In the past, advanced robotics was too expensive to pre-install hardware on vehicles because lidar and AI computers are the hardware tax that prevents true scale, and new business models.
NODAR algorithms are lightweight operating on low-cost embedded computers, and derive 3D point clouds from low-cost cameras, giving a powerful platform that can scale and enable Feature-on-Demand.
Ship your product with a bunch of inexpensive cameras, and turn on features like collision warning, digital implements, throttle control, volumetric inventory tracking, power-line warning, and full autonomy as a premium subscription feature.
We will take your design, optimize the BOM for scale, and deploy. You license the HW reference design and SW licenses.
Imagine a lightweight aftermarket camera array kit that a single person can easily place on top of a tractor, or a tractor cab with cameras already integrated at the factory. The customer can then pay to enable various features: digital implements, transparent tractor, crop volume counting, collision warning, auto-steer without GPS, etc.
NODAR can provide the hardware reference design and software to build out your dream system.
1-Week Pilot Implementation
No need to wait. You can determine whether our technology will satisfy your requirements in 1-week, where our team flies to your facility to integrate our HDK, collect data, and analyze the results. You will have actionable insights in 1-week, and skip 9-12 months of engineering work.
Case Study: Mining customer
We flew to the customer site and attached our HDK to the top of the mining vehicle.
Measured the FP and FN over a number of scenarios (different speeds, dust conditions, and ranges). Labeled 2000 images for ground truth.
Confirmed that we could attain TP of 100% to 100-m range of 30-cm objects in dust with the NDR-HDK-2.0-100-65-A.
Case Study: tractor customer
Same thing. Except with a tractor.
In a dusty field, a weedy field, at night, and into the sun.
Achieved detection ranges of 100+ m.
Accelerate your product development by 12 months with an economically scalable ultrawide-baseline stereo vision camera primary solution. (If do you really need lidar and radar, we play nicely with those sensors too! GridDetect can fuse multiple sensor modalities.)
Long-range obstacle detection for trains up to 1,000 meters ahead
RailView
NODAR RailView is a collision warning system designed for trains to prevent collisions with objects up to 1000 meters away. The system utilizes customized software built on our HDK (NDR-HDK-2.0-100-10-A). With its ultrawide-baseline stereo vision and 3D sensing capabilities, RailView can detect a wide range of objects—beyond just people and cars—such as random trash, rocks of various shapes, and debris.
Thanks to NODAR's advanced autocalibration algorithms, the ultrawide-baseline stereo camera always stays calibrated, even with platform shock and vibration. By measuring the three-dimensional structure of the area ahead of the train, the system can identify any physical object above the track surface, even if it encounters the object for the first time. For added reliability, we incorporate state-of-the-art AI detection methods.
System Architecture
Core System. HDK (NDR-HDK-2.0-100-10-A)
Computational module: industrial edge AI processing unit, Nvidia Orin AGX, fanless. 100-240 VAC, 50/60 Hz, 4A
Sensor module: Ultrawide-baseline stereo vision camera, 1-m baseline, 10-deg HFOV
(Add-on) Sensor module: Monocular thermal camera with state-of-the-art AI detector
Interfaces
(Add-on) Audio Alert System. USB-A to 3.5-mm audio adapter
(Add-on) Display module. HDMI interface
Navigation
(Add-on) Navigation module. USB GNSS module
Connectivity
(Add-on) 5G/LTE modem. 5G to Gigabit Ethernet Converter
Integration Hardware
Cables and interfacing equipment
(Custom) Hardware for mounting and cabling. We recommend attaching visible cameras to inside of windshield behind the wipers.
(Add-on) DC-DC converter. Specify input supply voltage: 110V for electric locomotive and 72V for diesel locomotive. Output supply voltage: 24V, 9.2A, 221W max.
Specifications
Detection Range
weather
condition
Normal
Visibility
obstacle
detection range
Signal Aspect detection range
Clear
<160 km/h
Horizon limited
1000 m (VIS)
TBD
Mild Fog
<160 km/h
300 m
300 m (VIS)
500 m (LWIR)
TBD
Dense Fog
<95 km/h
100 m
100 m (VIS)
250 m (LWIR)
TBD
Extreme Fog
<20 km/h
5 m
5 m (VIS)
15 m (LWIR)
TBD
False positives: <3 per 100km
False negatives = 0 (over testing to date)
Detection Range vs. Object Size
The minimum detectable object size vs. range for the 5.4MP HDR VIS camera and 10-deg HFOV lens.
Range
Min Object Size
500 m
0.5 m
800 m
0.8 m
1000 m
1.0 m
Additional Specifications
Recording. The current rugged embedded system has a 500 GB internal SSD. An external USB SSD can be attached. Assuming a capacity of 4 TB, the raw uncompressed 5.4mp 16-bit images from the two visible cameras (108 MB/s), can be stored for 10.3 hours at 5 FPS.
• (Add-on) Compression module to allow storage of 15 days of compressed video.
(Add-on) Built-in self-test on power up, and give warning to the driver if the system fails and is not functioning as expected.
Power up time is less than 2 minutes.