Company: OTSA
Filing Date: 2025-07-07
Form Type: F-1/A
Source: 0001213900-25-061733
Chunk: 171

Company: OTSAW Ltd
Filing Date: 2025-07-07
Form: F-1/A
Chunk 171
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 due to the different rates and frequencies at which sensor data arrives to the processor from the sensor and the intrinsic and external environment -drivensensor biases, sensor synchronization requires a high degree of calibration. Our proprietary Senor Fusion technology is developed to manage, fuse, calibrate, and integrate these sensors installed on our AMRs. Through our proprietary Sensor Fusion algorithms, we are able to harness the strengths of each sensor to achieve autonomous navigation and obstacle avoidance motions. Our proprietary Sensor Fusion algorithms do so by synthesizing the sensory data from all sensors on the AMR and analyzing the data into a unified whole in real -time, mimicking human senses and perceptions. By merging the sensory data into one measurement instead of using singular values provided by each sensor, the sensors are able to complement one another, hence enhancing the accuracy, precision, spatial coverage, or time duration of the AMRs. The Sensor Fusion technology not only reduces uncertainty in machine perception for better decision -makingcapabilities, but it also provides a comprehensive environmental model for the AMRs to determine their most accurate positions relative to obstacles and terrain. This technology ultimately enables our AMRs to operate independently, accurately, reliably, and safely in any environment. Machine Perception Technology and Machine AI-Learning Technology The multi -layeredsynergy of our advanced sensors and cameras, 3D -SLAMtechnology, and Sensor Fusion software enables our AMRs to achieve human -likevision. The AMRs capture a 360° range of stereoscopic vision: in front, behind, above, and beside the AMR. This provides an in -depthand expansive three -dimensionalview of the world similar to human vision. However, to be fully AI -Enabledand to safely, reliably, and efficiently navigate in unstructured and dynamic environments, the AMRs must also have the perceptive ability to analyze and comprehend their visual world and detect and classify objects at ranges to enhance their decision making. Our machine perception technology powers the AMRs with a human -likeperceptive ability to identify and distinguish between objects of varying motion, shape, reflectivity, and material composition. The machine perception technology enables our AMRs to collect the real -worldlive data points, which are then simultaneously combined with vision -baseddata, providing the AMR with information for an accurate understanding of their immediate surroundings. Continuous real -timedata analysis allows the AMRs to understand what is constant and what is changing in their environment, enhancing task comprehension and situational awareness. Thus, the AMRs can perform obstacle -avoidancemovements